The objective of this course of electric vehicle advanced system integration is to provide an overview of Electric Vehicle Integration aspects in the context of using existing mature technologies from other domains into the automotive products. The students will be introduced to the concepts and terminology, the global best practices in virtual model-based development, electric vehicle system and sub-system working principles, systems engineering and basics of control systems specific to electric vehicles.
Upon completion of this course, trainees should be able to follow the literature on these subjects and perform independent design, research and development work in this field applying systems engineering approach. Using the virtual models, they can build themselves, they will be able to draw meaningful inferences and provide actionable recommendations using virtual simulations. They will know the limitations and strengths of the various virtual modelling techniques and the understanding of where to apply which technique for best results.
Finally, the trainees will be made aware of the influence of variation in customer usage behaviour on product engineering and how to translate them from measured data. They will understand the various other dependencies of electric vehicles on the infrastructure and policy framework prevalent in the country. All of this will help them more rounded decisions and robust decisions.
6 Months Access
20+ Hrs Lectures
100% Online Program
Pre-recorded Sessions + Weekly Doubt Sessions + Live Practice Sessions (Opt.)
Understand the importance of sub-systems in an electric vehicle
Understanding the basics of controls integration
System modelling and simulation in terms of electric vehicle system
Understanding how 1-D system modelling tools work
Learnings about infrastructure dependencies in electric vehicle
Understanding customer usage behaviors
Hands-on practice system modelling in Excel and Scilab
How to draw inferences from virtual simulation results
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In this section you will learn about electric vehicle sub-systems, Induction Machines like motors and generators, energy storage batteries, charging and regeneration, power electronics, and vehicle system and dynamics.
In this section you will learn about System modelling techniques & approaches, Physics-based (first principle) modelling, Data based modelling, RCA & FMEA, Setting up a real-life problem in simulation, and Managing model fidelity, accuracy & utility.
In this section you will learn about Basics of control systems, Open-loop control, Closed-loop control, Predictive & adaptive control, Battery management systems, Energy management systems, Other control system interfaces, and Functional safety.
In this section you will learn about Charging & grid liability, Charging protocols & safety, Renewable energy – cyclicity & load balancing, and Telematics & connected vehicles.
In this section you will learn about Legacy customers of IC engine-based vehicles, First-time buyer – directly electric vehicles, Customer clinics to vehicle technical specifications, and Data collection & analysis.
DIYguru will feel proud to awards the certificate of competency in ‘Electric Vehicle Advanced System Integration’ to only those aspirants who have 100% completed their online module.
DIYguru proficiency Certificate is highly valuable by industry giants, namely Robert Bosch; Maruti Suzuki; Hyundai Motors, are the name of few, which is why DIYguru earned certificates are secured with a unique certificate ID. To check the validation of the certificate, check out the footer section of the home page.
Certificate provided to you is an online certificate, which means there is no need to download, after completion of the course, aspirants are requested to check their profile to view their earned certificate. In case the certificate is not issued feel free to write us at firstname.lastname@example.org, our team will help you out.
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