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India’s one and only Hardware Enabled E-Mobility Upskilling Platform with 100% Placement Oriented PG Certificate Programme. Certified by EICT – IIT Guwahati & TATA Technologies in association with ASDC & AICTE, Ministry of Education, Govt. of India.

This Executive PG Certification Program with EICT – IIT Guwahati offers a blend of LIVE instructor-led sessions, hands-on hardware training, and extensive industry integration, with strong placement support and access to research labs for advanced EV and embedded systems learning.

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Duration:

12 months

Eligibility:

B.Tech. (Min.)

Mode of Learning:

Hybrid

Placement Support:

100% Placement

Certification:

IIT + ASDC + AICTE

  • Learn from

World's Top Ranked Indian Institute of Technology

  • Program Highlights
High Voltage EV Safety Training
Hands on Training program with 4W / 2-W and EV Testing KITs with more than 200 experiments.
Career Development
Access and opportunities are competitive advantages – and we’re committed to affording our people both.
Alumni Network for Life
Our Network helps alumni connect to enhance business development, support recruiting, and more.
Learn by doing - the DIY way
We support continuous learning, development, and apprenticeship to help our people achieve their full potential.
Training and Benefits
From stipend and benefits to developmental programs and training, we aim to support your growth.
Teams Drive Stronger Results
We convene people with diverse perspectives and background to deliver the sharpest solutions for our clients.
Access to emobility.careers Portal

  • Leverage DIYguru's extensive network of industry partnerships.
  • Access opportunities for job placements and industry exposure.
  • Collaborations with leading automotive and EV manufacturers.

    • 200+ Live Sessions Over 12 Months

  • Engage in interactive sessions led by IIT faculty and industry veterans.
  • Deep dive into advanced EV Engineering, embedded systems, fuel cell system, ADAS Technology,AUTOSAR, with the entire coverage of over 5 software and 150+ modules.
  • Flexible scheduling to accommodate working professionals and freshers.

    • Embedded ARM Cortex Based hardware development kit.

  • Receive a kit developed by DIYguru in collaboration with IIT Delhi, Tadpole Projects, and EVI Technologies.
  • Enhance your learning with practical, hands-on experience.
  • Tools included for building and testing EV components.

    • Exclusive, Industry-Aligned Projects

  • Work over 15 technical projects, covering over 5 software, from over 14 courses with 5+ trainers.
  • Choose electives for your specialisation, targeting advanced preparation as per your skill sets and career path.
  • Work on over 12 hardware experiments and 5+ hands on embedded system HIL-SIL development for automobile and electrical applications.

    • Leverage the Prestige of On Site IIT Guwahati Immersion Program + Expert sessions from Industry professionals & IIT Faculty Members

  • Program certificate and 'Executive Alumni Status' from the E&ICT Academy, IIT Guwahati
  • Opportunity to attend a campus immersion program hosted by IIT Guwahati

    • NEAT AICTE & ASDC Accreditation

  • Accredited by NEAT AICTE and ASDC for high educational standards.
  • Ensures industry relevance and compliance with technical standards.
  • Recognized by employers across the EV industry.

    • Enhance Your Career With India's First Hardware Enabled Electric Vehicle Programme

    Experience the future of Electric Vehicle (EV) education with our Program in Electric Vehicle & Embedded Systems. This pioneering program is the first of its kind, meticulously designed by DIYLABS to provide an immersive, hands-on learning environment.

    Key Features:

    1. Innovative Curriculum:

      • Dive deep into EV design, analysis, and testing with a curriculum developed by leading experts in the field.

    2. State-of-the-Art Equipment:

      • Engage in practical, real-world experiments with cutting-edge tools and equipment.
      • All hardware and tools have been expertly designed by Tadpole and EVI Technologies, innovative startups incubated at IIT Delhi.

    3. Support and Collaboration:

      • Benefit from the robust support and insights provided by ev2030.org, ensuring you stay at the forefront of EV technology.
      • Gain from a network of industry leaders and pioneers throughout your educational journey.
    • Program Curriculum
    Module 1: Starting with EV Technology
    • Overview of Electric Vehicle Types and Concepts
    • Global and Indian EV Ecosystem and Market Dynamics
    • Government Initiatives, Policies, and the UN Sustainable Goals
    • Charging Infrastructure, Battery Manufacturing, and Service Ecosystem in India
    • Challenges, Growth, and Future Trends in the Global EV Industry
    • Industry Shifts and Challenges in the Automotive Sector
    • Emergence and Rise of E-Mobility Technologies
    • Key Components in EV Technology: Powertrain, Emissions, and Fuel Systems
    • Transitioning from ICE to EV: Technology Transfers and Innovations.
    • EV Layouts, Classification, and Architecture
    • Types of Electric Vehicles: Battery, Hybrid, Plug-in Hybrid, and Fuel Cell
    • Storage Systems and Battery Technologies
    • Motors, Energy Management, and Charging Systems
    • Understanding EV Range, Efficiency, and Design Principles
    • Introduction to Battery Technology and Components
    • Battery Cell Types, Chemistry, and Energy Density
    • Battery Charging Standards, Management Systems, and Thermal Management
    • Battery Construction, Degradation, Recycling, and Safety
    • Advances and Future Trends in Battery Technology
    • Introduction to Power Electronics and Semiconductor Devices for EVs
    • Power Electronics Operations: Switching Mechanisms, Control, and Modulation
      Techniques
    • Thermal Control, Power Loss, and Heat Management in EV Systems
    • Power Conversion Systems: DC-DC Converters, AC-DC Rectification, and DC-AC
      Systems
    • Voltage and Current Source Systems, Power Flow, and EV Controllers
    • Overview of EV Motor Types: DC, AC, BLDC, PMSM, and Switched Reluctance
      Motors
    • EV Traction Motors and Motor Performance Analysis
    • Propulsion Systems, Regenerative Braking, and Motor Control Systems
    • Motor Thermal Systems and Industry Examples of EV Motors
    • Fundamentals of Vehicle Electrification and Power Distribution
    • Vehicle Control Units (VCUs): Design, High Power Systems, and Electrical
      Standards
    • Charging Circuits, Electrical Testing, and Telematics Systems
    • Advanced Electrical Systems: EMC, Interference, and System Integration
    • Introduction to EV Charging Technologies and Infrastructure
    • Charging Systems: Onboard, Home, and High-Speed Solutions
    • Concepts of Battery Swapping, V2G Systems, and Grid Integration
    • Challenges in Charging Technology and Integration with Renewable Energy
    Module 1: EV Numerical Calculations
    • Understanding Key Parameters for Electric Two-Wheelers
    • EV Component Selection and Sizing (Motors, Controllers, Batteries, Chargers)
    • Use Case Calculations for EV Performance and Efficiency
    • Torque, Power, and Motor Sizing Considerations
    • Battery Pack and Charger Selection and Sizing
    • Introduction to Hybrid Vehicle Systems and Modes of Operation
    • Key Components, Units, and Energy Management in Hybrid Vehicles
    • Hybrid Powertrain and Drivetrain: Industry Ecosystem and Challenges
    • Power Flow and Case Studies on Hyundai HEVs (Tucson, IONIQ)
    • Overview of Heavy Vehicle Powertrain Systems and Energy Storage Solutions
    • High Voltage Power Supply and Control Systems in Heavy EVs
    • Safety Systems, Maintenance, and Fleet Management for Heavy EVs
    • Market Analysis: Leading Manufacturers, Challenges, and Growth in India
    • Introduction to EV Safety, Regulations, and High-Voltage Isolation Techniques
    • Role of Sensors, Software, and Fire Safety in EVs
    • Global and Indian Regulatory Standards for EV Safety
    • Emergency Protocols, Crash Testing, and Government Policies for EV Safety
    • Fundamentals of EV Supply Chain Management and Logistics
    • Key Components, Challenges, and Global Sourcing Strategies in the EV Supply
      Chain
    • Digitalization, Data Analytics, and Sustainability in EV Supply Chains
    • Risk Management and India’s 2030 Plan for Balancing Imports and In-House
      Development
    • Overview of EV Manufacturing Workflow, Quality Control, and Assurance
    • Material Selection and Design for Manufacturing (DFM) in EVs
    • Battery Pack Assembly, Chassis, and Body Integration
    • Environmental Considerations and China’s Role as a Global Manufacturing Hub
    • Cell Manufacturing, Quality Assurance, and Health Estimation Algorithms for
      Batteries
    • Thermal Management in Batteries and Advanced Techniques
    • Electric Motors: Design, Optimization, Power Electronics, and Control
      Techniques
    • Predictive Control, Diagnostics, and Integration of Motors
    • Advanced Charging Technologies, Methods, and Considerations

    Design and optimization of electric powertrain for 2W, 3W, or 4W urban commuter vehicles.

    • EV Powertrain Design for 2W/3W/4W urban vehicles

    • Thermal Management for battery, motor & controller

    • Advanced Charging Solutions integration

    • Component Sizing: Battery, Motor, Controller, Charger

    • Real-World Use Case: Urban commute, load, range

    • Performance Optimization: Efficiency & energy recovery

    • Cost Analysis: Performance vs. cost trade-offs

    • Outcome: Hands-on EV design, sizing, and system integration skills

    Module 1: Essentials of MATLAB
    • Getting Started
    • Overview and MATLAB Essentials
    • MATLAB Intermediate
    • Plotting and Graphics
    • Algebra, Calculus, Differential, & Integration
    • Polynomials & Transforms
    • Introduction to simulink 
    • Building blocks for simulink model.
    • Modelling of EV with the SIMULINK system
    • Setting parameters and conclusion
    • Introduction of the Advisor toolbox 
    • Installation of the Advisor toolbox.
    • Advisor structure 
    • Simulation Approch 
    • Capabilities and limitations 
    • Introduction to the Qss toolbox
    • Installation of Qss toolbox 
    • Settings Up Qss toolbox 
    • Software Description of Qss toolbox 
    • Modeling Approach and Case Study
    • Utilization of different control structures with MATLAB
    • Stability analysis of linear control system (BIBO, Routh-Hurwitz, Root locus,
      Nyquist)
    • System representation for SISO/MIMO LTI models with a use-case of “Inverted
      Pendulum on a Cart”
    • Design a SISO system with a use case of “The DC motor”
    • Design a MIMO model of Jet transport aircraft
    • Arrays of linear models, their characteristics, and feedback interconnection
    • Controllability, observability, and system properties with a use case of a
      Geostationary Satellite
    • State-space representation of continuous systems
    • Use of LTI viewer for analyzing models, Simulink LTI viewer
    • Application of SISO designing tool
    • Bode diagram design for specific application
    • Root locus design with specific application example
    • Nichols plot design with specific example

    This project involves the design and simulation of an electric vehicle (EV) using three MATLAB toolboxes: SIMULINK, QSS, and ADVISOR. Custom EV models are developed in each environment with implemented control strategies and performance tested under similar driving scenarios. Key metrics like energy consumption, acceleration, and battery SoC are analyzed. The final outcome is a detailed comparative study highlighting the strengths and limitations of each toolbox in EV modeling.

    Module 1: Essentials of MATLAB
    • Background and Evolution of Battery Technology in EVs
    • Fundamentals and Electrochemistry of Battery Operation in EVs
    • Battery Anatomy, Performance Metrics, and Integration in EV Systems
    • State-of-the-Art Developments, Cycle Life, and Challenges in EV Battery
      Technology
    • Overview of Li-Ion Battery Technology: Key Materials and Components
    • Cathode, Anode, Electrolyte, and Separator Materials
    • Advanced Materials and Techniques: Nanostructures, Composites, Coatings, and
      Surface Modifications
    • Industry Examples, Graphene and Solid-State Electrolytes, and Future Market
      Trends
    • Raw Materials Acquisition and Electrode Fabrication Techniques
    • Cell Assembly, Formation, and Aging Processes
    • Module and Pack Assembly, Quality Control, and Testing Protocols
    • Battery Safety Standards in India, Automation, and Environmental Sustainability
      Measures
    • Understanding BMS in EV Systems: Architecture, Components, and Roles
    • Thermal Control and Battery Balancing Techniques in BMS
    • Implementation, Control Strategies, and Hardware/Software Components of BMS
    • Industry Examples, Future Trends, and Innovations in BMS Technology
    • Overview of SOC/SOE and Their Role in EV Systems
    • Estimation Algorithms: Coulomb Counting, OCV Method, and Managing
      Uncertainties
    • Dynamic Response, Temperature Effects, and Practical Applications of SoC
      Algorithms
    • Refinements, Compensations, and Enhancements Using Kalman Filtering
    • Introduction to SoH/SoP Estimation Algorithms and Battery Failure Mechanisms
    • Comparative Analysis of SoH/SoP Algorithms and Capacity Estimation
      Techniques
    • Environmental Impacts, Self-Discharge Detection, and Dual Estimation Methods
    • Reliability Analysis, Case Studies, and Emerging Trends in SoH/SoP Estimation
    • SOC/SOH Modelling using MATLAB
    • Cell modeling in MATLAB
    • BMS modelling using MATLAB

         This project focuses on Battery Management System (BMS) development and State of Charge (SOC) estimation using MATLAB/Simulink. It includes building a battery model, implementing SOC estimation algorithms (e.g., Coulomb counting, EKF), and validating them using real or experimental data. Additionally, it involves motor modeling and simulation of types like PMSM, BLDC, IM, or SRM, with proper mathematical modeling, control strategy design, and performance analysis under various conditions. The outcome is a complete simulation model, report, and performance evaluation.

    Module 1: Fundamentals of Electric Motors
    • Introduction to Motor Principles and Torque Production
    • Magnetic Circuits and Energy Conversion
    • Specific Loadings and Motor Output Characteristics
    • General Properties of Electric Motors and Safety Standards
    • Voltage Control Techniques and DC/AC Conversion
    • Inversion Techniques and Inverter Switching Devices
    • Converter Waveforms, Acoustic Noise Control
    • Cooling of Power Switching Devices
    • Torque Production and Motional EMF
    • Steady-State and Transient Performance Characteristics
    • Four-Quadrant Operation and Regenerative Braking 
    • Different Types of DC Drives (Thyristor, Chopper-Fed, Servo, Digitally Controlled)
    • Basics of Rotating Magnetic Fields and Torque Production
    • Stator Current-Speed Characteristics and Methods of Starting Cage Motors
    • Torque-Speed Curves and Influence of Rotor Parameters
    • Speed Control and Power Factor Control
    • Similarity Between Induction Motor and Transformer
    • Development of the Induction Motor Equivalent Circuit
    • Properties of Induction Motors and Performance Prediction
    • Approximate Equivalent Circuits and Measurement of Parameters
    • Equivalent Circuit Under Variable Frequency Conditions
    • Torque–Speed Characteristics – Constant V/F Operation
    • Control Arrangements for Inverter-Fed Drives
    • Vector (Field-Oriented) Control and Cycloconverter Drives
    • Principle of Motor Operation and Motor Characteristics
    • Steady-State Characteristics – Ideal (Constant-Current) Drive
    • Drive Circuits and Pull-Out Torque–Speed Curves
    • Transient Performance
    • Synchronous Motors and Controlled-Speed Drives
    • Brushless DC Motors and Switched Reluctance Motor Drives
    • Power Range for Motors and Drives
    • Load Requirements – Torque–Speed Characteristics
    • General Application Considerations
    • Electric Motor Design Principles for EVs
    • Advanced Control Techniques and High-Performance Materials
    • Electric Motor Testing, Characterization, and Integration into Powertrains
    • Noise, Vibration, and Harshness (NVH) Analysis
    • Reliability and Lifetime Analysis of Electric Motors
    Module 1: EV Architecture Modelling & Simulations
    • Buck Converter Design
    • Boost Converter Design & Modeling
    • 3 Phase & Multi-Level Inverter Design and Modeling
    • Solar PV Based Charger Modeling
    • Induction Motor Design & Modeling
    • Motor Controller Design & Modeling
    • Introduction to Road Load Analysis
    • Road Load Calculations
    • Introduction to Drive Cycle
    • Introduction to MATLAB Road Loads Calculations
    • Introduction to Simulink Road Loads Calculations
    • Preparation of Drive Cycle Road Loads Calculations
    • Aerodynamic Drag Force Road Loads Calculations
    • All Road Loads and Power Requirements
    • Torque Requirement and Conclusion
    • Introduction to Inverters
    • Single Phase Inverter Modeling
    • Three Phase Inverter Modeling
    • Inverter Simulation and Modeling
    • Introduction to Simscape
    • Modeling Vehicle Road Loads using Simscape Toolbox
    • AC/DC Full Wave/Half Wave Conversion using Simscape
    • Ultracapacitor Model using Simscape Toolbox
    • Battery Model using Simscape Toolbox
    • Battery Pack with Fault using Simscape
    • PWM Controlled DC Motor
    • Designing EV using QSS Toolbox
    • ICE Vehicle Physical Modeling using Simscape
    • Lead Acid Battery Cell using Simscape
    • Vehicle Performance Analysis using ADVISOR Toolbox
    • Modeling and Analysis of HEV using QSS Toolbox
    • BMS Battery Protection
    • BMS Thermal Anomaly Analysis
    • Demonstration of How to Make a Drive Cycle from Data
    • Energy Consumption in Battery Systems

    This project focuses on designing and analyzing Electric Vehicles (EV) using MATLAB and Simscape. It involves simulating road load forces, battery systems, power electronics, and hybrid EV configurations. Participants will learn to evaluate and optimize EV performance, efficiency, and range under real-world conditions. The project equips learners with practical skills to develop efficient and sustainable EV solutions.

    Electric Vehicle 2W Design and Modeling using SOLIDWORKS
    Module 1: Chassis and Suspension Design
    • Parameters for Chassis Design
    • Key components of the Chassis
    • Explanation of Suspension Terms (Pitch circle diameter, Wire diameter, Height)
    • Design Process of the Suspension
    • Overview of Swingarm Position and Role in EV bikes
    • Design Process of the Swingarm
    • General outlook on alloy wheel design
    • Using 2D drawing features in SolidWorks
    • Designing the right fit tire for the alloy wheel
    • Assembling the alloy wheel inside the tire
    • Checking the fitting of the swingarm
    • Designing the motor controller and DC to DC converter
    • Designing the handlebar for the EV bike
    • General overview of assembling parts for 2-wheelers
    • Editing battery sketch and basic assembly
    • Final scooter assembly with aesthetics (rear cover, front light)
    Module 1: Advanced Control Design and Compensators
    • Use of different functions for compensator design by using MATLAB
    • Design of LQG-controller by using MATLAB
    • Use of phase margin, gain margin, modulus margin, delay margin using MATLAB
    • Understanding robust stability and internal stability by using MATLAB
    • Youla parameterization by using MATLAB
    • P, PI, PD, PID regulator design by using MATLAB
    • PID regulator design for a dead-time system and considering phase shift using
      PADE approximation
    • General polynomial method for regulator design using MATLAB
    • Analysis of sampled data system using MATLAB
    • Design of discrete PID regulators using MATLAB
    • DC motor speed and position control system modelling by using MATLAB
    • Inverted pendulum system modelling by using MATLAB
    • Design of buck converter in closed loop using System-Identification toolbox
    • Design of boost converter in closed loop using System-Identification toolbox
    • Ball & Beam system modelling and analysis using MATLAB

    This project involves designing and assembling a complete 2-wheeler (2W) electric vehicle using SOLIDWORKS. It covers detailed modeling of key components like chassis, suspension, wheels, motor, battery pack, and controllers. Participants will learn to integrate all parts into a final assembly, tackling real-world design challenges and optimizations. The project equips learners with practical skills to create efficient and functional 2W EV designs ready for simulation and production.

    • Objective: Hands-on training in hardware implementation and testing of electric vehicle systems.
    Module 1: Introduction to Semiconductor Electronics
    • Introduction to electronics
    • Definition of electonics and semiconductors
    • Intinsic and Extrinsic semoconductors
    • Diode configuration
    • Regulated power supply and rectifiers
    • Full wave rectifiers & Filters for rectifiers
    • Series inductor filter and Shunt capacitor filter
    • Clippers and their Types
    • Clipper circuit with bias
    • Series positive clipper circuit with bias & shunt clippers
    • Shunt positive clipper with bias
    • Shunt negative clipper with bias
    • Dual clipper circuit & Positive clampers
    • Negative clampers & Biased clamper
    • Half wave voltage doubler
    • Special purpose diodes
    • Working principle of zener diode and shottky diode
    • Light Emitting Diode
    • Photodiode
    • BJT
    • BJT part 2
    • Configuration of BJT
    • JFET
    • MOSFET working
    • Classification of MOSFET
    • IGBT
    • Applications of IGBT
    • Op – Amp
    • Inverting Amplifier
    • Differetial Amplifier
    • High and low pass filter
    • Numer Systems
    • Conversion of number system 1
    • Conversion of number system 2
    • Conversion of number system 3
    • BCD Number System
    • Boolean Algebra and Logic Gates part1
    • Boolean Algebra and Logic Gates part2
    • Boolean Algebra and Logic Gates part3
    • Boolean Algebra Logic gates part4
    • Boolean Algebra and Logic Gates final part5
    • Proteus Lec1 Half wave Rectifier
    • Proteus Lec2 Bridge rectifier with filter
    Module 1: Introduction to CAD/CAE and ANSYS
    • Introduction to CAD CAM CAE and ANYS Systems
    • Verifying and Validating your Model
    • ANSYS Installation Guide (Official Student Version)
    • ANSYS Interface
    • What is FEA and FEM
    • Nodes and Elements & Degrees of Freedom (DOF)
    • Classification of Materials
    • Isotropic and Orthotropic Materials
    • Implicit and Explicit Analysis
    • Understanding the Project Page and Engineering Data
    • First Simulation in ANSYS Mechanical
    • Accessing ANSYS Workbench Help
    • Importing CAD Geometry
    • Geometry Clean-up and Simplification
    • Creating New Geometry Using ANSYS SpaceClaim
    • Creating and Editing Coordinate Systems
    • Meshing Principles
    • Setting-Up a Static Structural Analysis Part 1
    • Boundary Conditions
    • Material Selection Criteria
    • Running Analysis and Results
    • Running Analysis and Results
    • Setting up a steady-state and transient heat transfer analysis
    • Applying thermal boundary conditions
    • Heat generation and conduction
    • Post-processing temperature distribution and heat flux
    • Introduction to CFD simulations in ANSYS
    • Setting up a CFD analysis
    • Defining fluid properties
    • Meshing for CFD
    • Boundary conditions for fluid flow
    • Post-processing velocity, pressure, and other flow variables
    • Understanding nonlinear analysis
    • Setting up static and transient nonlinear analyses
    • Nonlinear material behavior
    • Contact analysis
    • Buckling analysis
    • Optimization basics in ANSYS
    • Design of Experiments (DOE)
    • Parametric studies
    • Response surface optimization
    • Introduction to ANSYS APDL scripting
    • Submodeling and superposition
    • Fatigue analysis
    • Multiphysics simulations (e.g., fluid-structure interaction)
    • High-performance computing (HPC) in ANSYS
    • Customizing the ANSYS Workbench interface
    • Using ACT (ANSYS Customization Toolkit)
    • Scripting and automation with Python
    • Scripting and automation with Python
    • Troubleshooting errors and convergence issues
    • Model validation and verification
    • Performance optimization
    • Documentation and reporting
    • Walkthrough of various engineering projects
    • Encourage users to tackle their own projects
    • Tips for industry-specific applications (e.g., aerospace, automotive, civil engineering)
    Module 1: Introduction
    • Overview of Embedded Systems
    • Applications of Embedded Systems in Various Industries
    • Basic Components of Embedded Systems
    • Trends and Future Directions in Embedded Technology
    • Architecture and Features of the 8051 Microcontroller
    • Programming the 8051: Assembly Language Basics
    • Interfacing Devices with the 8051 Microcontroller
    • Real-world Applications and Projects Using the 8051
    • Basics of Embedded C Programming
    • Advanced C Programming Concepts for Embedded Systems
    • Writing Efficient and Optimized Code for Embedded Systems
    • Debugging and Testing Embedded C Program
    • Introduction to Arduino Platform and IDE
    • Basic Programming and Interfacing with Arduino
    • Advanced Arduino Projects and Applications
    • Integrating Sensors and Actuators with Arduino
    • Starting with advanced simulations with Proteus
    • Proteus and STM model libraries
    • Working on electronic simulations for EV applications
    • ARM based simulations for vehicle technology
    Module 1: Embedded STM Cube EDE
    • Introduction to STM32CubeIDE and STM32 Microcontrollers
    • Peripheral Programming and Configuration
    • RTOS Integration and Advanced Features
    • Debugging, Testing, and Optimization
    • Introduction to ARM Cortex-M Microcontrollers and Development Tools
    • Designing and Simulating ARM Systems in Proteus
    • Embedded C Programming for ARM Cortex-M
    • Advanced System Design and Optimization
    • Development of Battery Monitoring System: Measure and display the voltage of
      a simulated battery pack.
    • Development of Current Monitoring System: Measure and display the
      current drawn by a simulated EV motor.
    • Development of Energy Consumption Display: Calculate and display the
      energy consumption of a simulated EV system.
    • Development of Battery Overcurrent Protection: Detect and respond to
      overcurrent situations in a simulated battery system.
    • Development of Simulated CAN Bus and PWM Communication: This
      project allows students to understand the implementation and working on
      the CAN based communication in an embedded system.
    Module 1: BMS Hardware
    • BMS Hardware Configurations and Components
    • Design, Integration, Reliability, and Testing of BMS Hardware
    • Industry Case Studies, Development Challenges, and Future Innovations in BMS
      Hardware
    • Economic Impacts, Market Study, and Introduction to BMS Software Control
    • Algorithm Development for BMS and Software for Battery Health Monitoring
    • Data Management, Industry Examples, and Challenges in BMS Software
      Development
    • Advances in BMS Algorithms, Integration with EV Systems, and Future Market
      Trends
    • Security, Privacy Considerations, and Principles of Cell Balancing
    • Balancing Techniques and Methods: Importance in Pack Performance
    • Industry Examples, Advances, and Smart BMS with Dynamic Cell Balancing
    • Challenges, Solutions, and Impact on Battery Longevity and Safety
    • Cell Management in Industrial BMS Systems, Economic Considerations, and Basics
      of Thermal Management
    • Designing Cooling Systems for Batteries: Hardware Considerations and Heat
      Management
    • Battery Cooling Technologies and Integration with Drivetrains
    • Challenges, Active and Passive Cooling, and Impact on Efficiency and Life
    • Electrical and Mechanical Design, Pack Assembly, and Testing of Battery Thermal
      Systems
    • Overview of EV Powertrain and Key Components
    • Integration of Powertrain with BMS
    • Efficiency and Performance Optimization in Powertrain Systems
    • Challenges in Powertrain Design
    • Thermal Management of EV Powertrain System
    • Market Study: Future Directions in Powertrain Development
    • Powertrain Hardware and Software Control Design
    • Powertrain Safety and Regulatory Standards
    • Powertrain considerations & case studies
    • Powertrain certifications and standards
    • Powertrain Primary components
    • Power Semiconductor Devices and Converters in EV Powertrain Systems
    • Filters, Capacitors, Snubbers, and EMI Mitigation in Power Electronics
    • Filters, Capacitors, Snubbers, and EMI Mitigation in Power Electronics
    • Fault Diagnosis, Protection, Regenerative Braking, and Integration of EV Powertrains
    • Electric Motor Design Principles and Advanced Control Techniques for EVs
    • High-Performance Materials and Testing/Characterization of Electric Motors
    • Noise, Vibration, and Harshness (NVH) in Electric Motors
    • Reliability, Lifetime Analysis, and Sensorless Motor Control Technologies
    • EV Powertrain Modeling with MATLAB
    • Modeling and Analysis of EV Powertrain Components in ANSYS
    Module 1: Introduction to Electric Vehicles and Charging Technology
    • Overview of Electric Vehicles: History and Evolution, Types of EVs (BEV, PHEV,
      HEV), Key Components of EVs
    • Fundamentals of EV Charging Technology: Introduction to EV Charging, Types of
      EV Chargers
    • Charging Standards and Protocols: CHAdeMO, CCS, GB/T, Tesla Supercharger,
      Basic Electrical Principles
    • Electrical Concepts for EV Charging: AC and DC Charging,
    • Charging Station Components and Design: Components, Design and Layout
    • Installation Requirements and Best Practices: Permitting and Regulations
    • Grid Integration and Load Management: Grid Impact and Challenges, Load
      Management Strategies
    • Smart Charging and Demand Response: Site Assessment and Selection, Factors
      Influencing Selection
    • Wireless and Inductive Charging: Principles of Wireless Charging, Inductive
      Charging Technology
    • Wireless Charging: Battery Swapping Technology, Ultra-Fast Charging
    • Emerging Technologies: Concepts of V2G and V2X, Benefits and Challenges
    • Business Models for EV Charging Stations: Ownership and Operational Models,
      Revenue Streams
    • Partnerships and Collaborations: Economic and Financial Considerations, Analysis
    • ROI and Payback Period: Incentives, Grants, and Subsidies
    • Module 5: Policies,
      Standards, and Safety
    • Compliance and Standards: Electrical and Fire Safety Standards, Cybersecurity
    • User Safety and Public Awareness: Safety and Security Considerations
    Module 1: Sustainable Development and Renewable Energy
    • Overview of Electric Vehicles: History and Evolution, Types of EVs (BEV, PHEV,
      HEV), Key Components of EVs
    • Fundamentals of EV Charging Technology: Introduction to EV Charging, Types of
      EV Chargers
    • Charging Standards and Protocols: CHAdeMO, CCS, GB/T, Tesla Supercharger,
      Basic Electrical Principles
    • Electrical Concepts for EV Charging: AC and DC Charging,
    • Atomic structure of hydrogen
    • Physical and chemical properties of hydrogen
    • Comparison of hydrogen to hydrocarbon fuels in terms of energy, flammability,
      and safety
    • Fundamental gas laws and measurements
    • Hydrogen as a Future Mobility Solution
    • Fundamentals and types of hydrogen fuel cells
    • MATLAB modeling of hydrogen fuel cell systems
    • Safety, handling, and storage challenges of hydrogen fuel
    • Design of hydrogen fuel cell engines
    • MATLAB simulations for hydrogen IC engine performance
    • Comparison of Hydrogen Fuel Cell Electric Vehicles (FCEVs) vs. Battery Electric
      Vehicles (BEVs)
    Advanced Charging Technologies for EV Systems
    Module 1: Introduction to ADAS and MATLAB
    • Overview of ADAS: Definition, components, history, and significance.
    • MATLAB overview: Key features, relevant toolboxes (Signal Processing, Image
      Processing, Automated Driving).
    • Benefits of simulation and model-based design.
    • Activity: Explore MATLAB environment and basic functions.
    • MATLAB syntax, operations, variables, arrays, and matrices.
    • Writing scripts and functions, including loops and control structures.
    • Activity: Solve linear equations using MATLAB scripts and functions.
    • Importing, exporting, and preprocessing data in MATLAB.
    • Basic statistical analysis and filtering techniques.
    • Plotting and visualizing data, including 3D plots.
    • Activity: Analyze and visualize ADAS sensor data.
    • Overview of camera, RADAR, LIDAR, and ultrasonic sensors: Working principles,
      advantages, limitations, and data types.
    • Sensor data formats and preprocessing.
    • Introduction to sensor fusion.
    • Activity: Simulate and visualize sensor data in MATLAB.
    • Basics of digital signal processing: Sampling, Fourier transforms, and filtering.
    • Noise reduction and feature extraction from sensor data.
    • Activity: Implement noise reduction filters on sensor data using MATLAB
    • Algorithms for lane detection, object detection, and tracking.
    • Implementing ADAS algorithms in MATLAB using image processing and
      computer vision techniques.
    • Activity: Develop a lane detection algorithm using MATLAB.
    • Setting up ADAS simulations in MATLAB: Environment and scenario setup.
    • Using MATLAB’s ADAS Toolbox for simulation.
    • Evaluating simulation performance.
    • Activity: Run an ADAS simulation scenario and evaluate its performance.
    • Review of key concepts and introduction to a comprehensive ADAS project
      (e.g., collision avoidance system).
    • Project planning, task division, and timeline creation.
    • Activity: Begin project planning and role assignments.
    Module 1: Introduction to AUTOSAR
    • Overview of AUTOSAR architecture
    • Importance and benefits of AUTOSAR
    • Key concepts and terminology in AUTOSAR
    • Evolution and future of AUTOSAR
    • Software component design and templates
    • Virtual Function Bus (VFB) and its role
    • Runtime Environment (RTE) and its configuration
    • Application layer and basic software modules
    • AUTOSAR development process and methodology
    • Tools used in AUTOSAR development
    • Configuration and generation of AUTOSAR code
    • Integration and testing of AUTOSAR components
    • AUTOSAR development process and methodology
    • Tools used in AUTOSAR development
    • Configuration and generation of AUTOSAR code
    • Integration and testing of AUTOSAR components
    • AUTOSAR communication stack
    • CAN, LIN, FlexRay, and Ethernet in AUTOSAR
    • CAN, LIN, FlexRay, and Ethernet in AUTOSAR
    • Configuration and testing of communication modules
    • Configuration and testing of communication modules
    • Sensorless Motor Control Technologies
    • Industry Experts & Faculties

    Experience deep, immersive learning with DIYguru's expert instructors, who bring physical components from our state-of-the-art E-Mobility Labs directly to your screen.

    Learn interactively as they break down every detail, making complex EV concepts easy to understand and apply.

    • Certifications
    • Accreditions

    Recognized by the best

    DIYguru is recognized and endorsed by  major educational and governmental organizations including the Ministry of Education, NITI Aayog, and NEAT AICTE for its commitment to upskilling in automotive and EV technologies. The institute also collaborates with industry leaders like L&T EduTech and the Ola Mobility Institute to ensure the relevance and practicality of its training programs.

    View All accreditions

    Guided by integrity, trust, and client-centricity, our values drive everything we do.

    1. Two Wheeler Hardware simulator & Testbench

    Specialized training in two-wheeler EV sector equips engineers and students with skills in EV performance testing, battery management, motor load analysis and safety.

    2. Charging station simulator and Testbench

    Hardware training in EV charging technology prepares learners to design and maintain efficient, safe, and scalable EV charging infrastructure covering international standards, safety protocols, and energy management.

    3. EV Retro-fitment solution

    Offering skills for converting ICE vehicles to electric, meeting market needs and promoting sustainable transport. It covers technical expertise, safety, and compliance, leading to job and entrepreneurial opportunities.

    4. EV Embedded System development KIT for advanced vehicle application

    Stay up-to-date with industry trends, regulations, and best practices to offer informed advice to your clients.

    5. EV In-house manufacturing & Development KIT

    Build long-term relationships with your clients based on trust, open communication, and mutual respect.

    6. EV 2-Wheeler Diagnostic KIT

    Monitor progress, review strategies, and make adjustments as needed to help clients stay on track towards their financial goals.

    7. Advanced Battery System KIT

    Monitor progress, review strategies, and make adjustments as needed to help clients stay on track towards their financial goals.

    Hardware Labs

    COE Labs for Onsite Practical Training

    • Admission Process

    Ready to take the next step?

    We look forward to reviewing your CV & Resume
    Apply Now
    • Learning Track
    • Our Students are hired by over 300 of the world’s leading automotive companies
    • Placement Process
    • EV Job Roles in Demand
    Foundations of EV & Hybrid Vehicles:

    Tata Motors, Mahindra & Mahindra, Maruti Suzuki,,Hyundai Motors India, Renault India, Hero Electric, Ashok Leyland, Ather Energy, Okinawa Autotech, Revolt Motors, Bajaj Auto.

    EV charging infrastructure, vehicle testing & Homologation:

    Indian Oil Corporation, Bharat Petroleum Corporation Limited (BPCL), Hindustan Petroleum Corporation Limited (HPCL), National Thermal Power Corporation Limited (NTPC), Power Grid Corporation of India Limited (PGCIL), Tata Power, Sterlite Power.

    EV Charging Infrastructure:

    Tata Power, EV Motors India, ABB India, Delta Electronics India, Magenta Power, Fortum India, ChargePoint India, Exicom Tele-Systems, Electrify India.

    EV vehicle design & analysis:

    Tata Technologies, Mahindra Electric Mobility, General Motors Technical Center India, Fiat Chrysler Automobiles (FCA) India Engineering Center, Ford Technology Services India, Renault Nissan Technology Business Centre India (RNTBCI)

    EV Battery technology and Powertrain development:

    Exide Industries, Amara Raja Batteries, Tata Chemicals, BHEL, JSW Energy, Reliance Industries Limited (RIL), TVS Motor Company, Lohum Cleantech

    EV PCB design & data analytics:

    Tata Elxsi, HCL Technologies, Wipro Limited, Infosys Limited, Tech Mahindra, L&T Technology Services, Capgemini India

    EV Power electronics & Embedded systems:

    Delta Electronics India, Infineon Technologies India, ABB India, Bosch India, Texas Instruments India, NXP Semiconductors India, STMicroelectronics India.

    Automotive Design and Engineering:

    Tata Technologies, Mahindra Engineering, Robert Bosch Engineering and Business Solutions, Continental Automotive Components India, AVL India, KPIT Technologies, Siemens Digital Industries Software, Altair Engineering.

    EV Research and Development:

    Indian Institute of Technology (IIT) Delhi, Indian Institute of Technology (IIT) Madras, Indian Institute of Technology (IIT) Bombay, Indian Institute of Technology (IIT) Kanpur, Indian Institute of Technology (IIT) Kharagpur, Indian Institute of Science (IISc), Centre for Automotive Research and Tribology (CART), Automotive Research Association of India (ARAI), Society of Indian Automobile Manufacturers (SIAM).

    EV Consulting and Startups:

    McKinsey & Company, KPMG India, PwC India, EY India, Deloitte India, Tata Consultancy Services (TCS), Wipro Limited, Capgemini India, Infosys Limited, Accenture India. Ola Electric, Yulu Bikes, Blu Smart Mobility, Mellowdynamics, Euler Motors, Simple Energy, Strom Motors, Grinntech Motors, Cell Propulsion, Gegadyne Energy Labs.

    Learn more about the Companies Hiring

    Placement Stories

    Testimonials

    What Alumni's say about us

    Learn why more than 183+ organisations trust DIYguru

    Explore all customer stories
    • Tools Covered

    Hardware Labs Access

    Two-Wheeler Simulator & Test Bench

    The 2 Wheeler Simulator & Testbench focuses on evaluating EV battery performance, including voltage, current, discharge profiles, and capacity testing under various load conditions. It also covers Battery Management System (BMS) testing and dynamic load analysis to optimize electric bike performance and safety.
    LAB 1
    Learn more

    Charging Station Simulator and Test Bench

    The Charging Station Simulator and Test Bench covers experiments focusing on the efficiency, behavior, and safety features of EV charging systems. It includes the measurement of voltage, current, and power consumption during charging, and tests security features like RFID and OTP-based authentication. Key areas include energy efficiency analysis, protection unit testing, and charging behavior under different conditions
    LAB 2
    Learn more

    EV Retrofitment Solution

    The EV Retrofitment Solution manual provides guidelines for converting internal combustion engine vehicles (ICE) to electric vehicles (EV). It includes tests for system functionality, battery management, performance optimization, and safety feature integration. The manual focuses on ensuring proper installation, verifying throttle, pedal assist, and battery management systems, and conducting performance tests under real-world conditions
    LAB 3
    Learn more

    Electronics & Embedded System Development KIT

    The Electronics & Embedded Systems Development Kit is designed for hands-on learning with embedded systems and microcontrollers like Arduino and STM32. It covers key experiments like controlling LEDs, setting up Pulse Width Modulation (PWM) for dimming lights, serial communication, and sensor integration. Advanced projects include battery monitoring, motor control, and safety alert systems for electric vehicles​.
    LAB 4
    Learn more

    EV In-house manufacturing & Development KIT

    The EV In-house Manufacturing & Development KIT provides all the essential tools and components for building and prototyping electric vehicles, supporting the entire development process from concept to production. It includes equipment for battery monitoring, motor control, system integration, and real-time data analysis, ensuring seamless development for EV projects​
    LAB 5
    Learn more

    Advanced Battery System KIT

    The Advanced Battery System Kit is designed for developing, testing, and optimizing high-performance battery systems. It includes tools for monitoring battery health, managing thermal conditions, and ensuring efficient energy storage through load balancing circuits, thermal shutdown mechanisms, and Battery Management System (BMS) integration. This kit helps to extend battery lifespan and optimize charging cycles
    LAB 6
    Learn more
    View All Hardware Labs
    Why DIYguru EV Programs Stand Out
    A modern, feature-rich learning path — benchmarked against generic e-learning providers.
    Partner-verified curriculum ASDC • NEAT • IIT • TATA eMobility.careers placement support Multi-location EV labs
    Feature / USP DIYguru Other Platforms
    Industry-aligned curriculum Partner-backed
    Designed with real EV workforce upskilling at Hyundai, Bosch, L&T, Daimler, Sonalika, John Deere & Eaton. (See Case Studies section)     		Verified with partners Varies; often generic
    Hands-on labs & workshops with 3 Weeks access to 4-Wheeler Hardware & Diagnostic Labs (ev.care)
    Access available in Delhi • Pune • Malaysia • Saudi Arabia • Germany.    		 Real hardware rigs Limited simulators
    Placement engine & employer network with access to eMobility.careers dedicated job portal
    Portfolio, interview prep, role mapping, referrals with exclusive, EV-focused listings with role-skill mapping and recruiter access.     		EV-specific portal Generic boards
    Option to choose from Government & industry certification pathways
    ASDC (Govt. of India) • NEAT AICTE (Ministry of Education) • IIT (Jammu/Guwahati) • TATA Technologies.     		Multiple pathways Limited/none
    Hybrid learning (Live + Self-paced + Hands on + Mentor hours from IITs & TATA Technologies) Structured pathway Video-only often
    Certification tracks (M.Tech. > PG > Nano > Micro-credentials) Multiple levels Single level
    Employer-ready portfolio, english communication classes & viva prep
    Templates, rubrics, code review, mock interviews day.    		 Included Occasional
    Embedded kit delivery to your doorstep with Capstone on real EV datasets
    20+ guided experiments on batteries, chargers, sensing, and control.     		20+ experiments included Limited kits
    Corporate collaboration & real tools exposure through Mentor feedback loops & doubt clearing session with instant support through whatsapp groups one to one Community only
    Support for working professionals (weekend cohorts, bridge modules)with outcome mapping: role-based skill tracks (BMS, Motor, EVSE, Thermal, Data) Structured Irregular
    Ethics, safety & compliance embedded (ISO 26262, HV safety, AIS/BIS awareness) Integrated Minimal
    Transparent skill diagnostics & KPIs with outcomes (projects → roles → salaries) Mapped Rare

    Note: “Other Platforms” is a generalized comparison. Actual availability may differ per provider.