• Starts on

    4th December 2023

  • Duration

    6 Months

  • Mode of Delivery

    Online + Offline(Practical sessions)

Course Curated By

Karnataka’s first nodal EV training centre | Funded by Govt. of Karnataka, Elevate 2021

Rashtreeya Vidyalaya College of Engineering (RVCE) Collaboration

About the Host Institution

RV College of Engineering (RVCE) established in 1963 is one of the earliest self-financing engineering colleges in the country. The institution is run by Rashtreeya Sikshana Samithi Trust (RSST), a not-for-profit Trust. RVCE is an Autonomous college. Currently, the institution offers 15 Bachelor, 14 Master Programs and all the departments have Research Centres, affiliated to Visvesvaraya Technological University (VTU) Belagavi. The institution has set itself a Vision of “Leadership in Quality Technical Education, Interdisciplinary Research & Innovation, With a Focus on Sustainable and Inclusive Technology”.
Furthermore, in addition to being recognized with top rankings in NIRF and IIRF, a Diamond University Rating by QS-IGUAGE, and Engineering College of the Year by Higher Education Review Magazine, the institution's exceptional commitment to innovation is exemplified through their significant contributions in the field of research and development. By actively filing numerous patents, the institution has demonstrated its dedication to exploring new frontiers and pushing the boundaries of knowledge. Their engagement in a multitude of research and consultancy projects further solidifies their position as a leading institution in academia. Additionally, the institution's establishment of multiple Centres of Excellence in various disciplines reflects its commitment to fostering excellence and advancing discoveries. Notably, their students' remarkable achievements in national and international competitions underscore the quality of education and the nurturing environment provided by the institution.

Key Features

  • Blended Learning

    Learn with flexibility of online training at own phase & access to State of Art labs visits to gain hands on learning.

  • Hands-on Labs

    Access to cell/battery testing facility, environmental chamber, BMS validation lab, electric vehicle testing dyno, MG ZSEV vehicle & more.

  • Industry Relevant Curriculum

    Structured curriculum with project-based learning & case studies to build experience. Capstone projects to help you gain real-time experience.

  • EV Expertsee

    Learn from Subject Matter Experts (SME's) & professionals from the EV industry.

  • Applied Learning

    Less of theory & gyan. Learning to be par with what industry needs.

About the Course

Decibels Lab and RV College of Engineering's Certification Course in Electric Vehicle Technology is an excellent opportunity for professionals and recent graduates in various engineering fields such as Mechanical, Automotive, Electronics, and Electrical to obtain industry-relevant expertise. This comprehensive 6-month program focuses on the essential aspects of Electric Vehicle technology, with a particular emphasis on Powertrain and Battery Management Systems. The course's hybrid learning model combines theoretical modules presented online with practical hands-on sessions conducted offline to provide a dynamic learning experience. As Electric Mobility gains momentum, individuals who complete the program will be well-positioned for success in their careers. Moreover, the program's hands-on approach ensures that graduates have tangible skills and knowledge that they can apply to real-world electric mobility projects.

Course Highlights

  • EV components and subsystems & practical visit EV Lab

  • MATLAB programming from basics to advanced

  • Simulink for Model Based Design

  • Stateflow to develop control algorithms

  • EV Powertrain System system modeling

  • Quasi-static & Dynamics based Powertrain modelling

  • Component sizing & optimisation

  • Cell & battery testing

  • Li-ion cell digital twin development

  • Algorithm development for BMS

Course Modules

To give your career a boost, familiarize yourself with the course modules in detail

Practical Foundation to Electric Vehicle Technology

Module 1

Module 01 of the course covers the basics of Electric Vehicle (EV) technology and its subsystems. The course includes practical knowledge of the different components of an EV, including batteries, electric motors, and power electronics. Topics covered include the history and development of EV technology, types of EVs available in the market, operation and control of EV motors and batteries, and characteristics of EV power electronics. The module provides a comprehensive overview of the technology and its subsystems, with practical examples and hands-on experience.

MATLAB Scripting for 1-D Simulation

Module 2

Module 2 of the course will cover the topics such as foundation to Matlab programming from basics to advanced level. Module 2 will cover a massive amount of tool skills such as basic math & matrix application, import & export data, plot & visualization of data, basic programming concepts(if-else, loops), functions, logic development, the relational operation, etc. Module 2 also covers hands-on training with software & provides a foundation for a career opportunities to start as a Matlab developer. By the end of Module 2, the learner will be able to use Matlab software with fluency

MATLAB-Simulink For System Modeling

Module 3

Module 3 of the course will cover the topics such as the foundation of the concepts of Simulink. It involves how to make use of blocks to construct an algorithm or equation, how to set up the programming constructs, logic, basic math, etc. Further data visualization, importing, exporting & analyzing. It is a platform to design, develop, test & validate the system. In module 3 we also cover hands-on training with software & this training will aid learners to explore career opportunities as Model-Based System Engineers (MBSE). By the end of module 3, the learner will be able to use Simulink software along with several applications with ease.

Stateflow for Logic Driven System Modeling

Module 4

Module 4 of the course will cover the topics such as the foundation of the concepts of Stateflow, how to set up time-based events, task-based events, trigger-based events, condition-based events, debugging tables & charts, design of logic & control part of algorithms. Module 4 will also cover hands-on training with Stateflow applications with examples. By the end of Module 4, the learner will be able to use Stateflow applications in system modeling with ease.

Powertrain Modeling Quasi-Static Approach

Module 5

In module 5 of the course, learners explore the EV powertrain system and its dynamic behavior. They also learn about different parameters that affect the performance of the system. Additionally, they study the significance of drive cycles such as NEDC, Artemis Rural/Urban/Highway, FTP-75, WLTP, and RDC. Learners also investigate acceleration and gradient tests, compare drive cycles, and generate real-time drive cycles using a test vehicle. Furthermore, learners examine the resistive forces that affect vehicle performance, including rolling resistance, grade resistance, aerodynamic resistance, acceleration, and inertial forces. In module 5, learners are tasked with creating traction battery models, performing hand calculations for pack parameter estimations, understanding cell datasheets, and evaluating pack models for various parameters. Vehicle projects like Ather 450X, Nissan Leaf, and Student Formula are also undertaken in this module. By the end of module 5, learners will have the ability to analyze the impact of each parameter, make decisions based on simulation results, and select appropriate components for the EV system.

EV Powertrain Modeling - Dynamic Approach

Module 6

Module 6 of the course covers various aspects of electric vehicle technology. It includes topics such as comparison metrics for powertrain approaches, modeling of vehicle resistive forces and their impact on vehicle performance, analysis of torque demands and limitations, study of different power conditions and their effects on performance, introduction to controller functions and estimation of traction force, designing and modeling of controllers, introduction to different types of controllers (PID, PI, PD), basic tuning methodology for PID controllers, standards for driver modeling, dynamic modeling of subsystems such as traction motor, transmission system, and traction battery, estimation of vehicle performance including speed and power, estimation of torque and speed demands for different power availability, estimation of battery currents, C-rates, power, energy, and losses, and vehicle projects involving Ather 450X, Nissan Leaf, and Student Formula. This module enables learners to choose appropriate motors and batteries for electric vehicles based on specific requirements.

Electric Vehicle Testing & Simulation Validation

Module 7

Module 7 of this course imparts practical knowledge and hands-on experience in vehicle testing to learners. Learners are taught about industry-level pre-vehicle testing protocols, ARAI standards, and the importance of electric vehicle testing. In this module, participants gain knowledge about the equipment used in vehicle testing, data acquisition tools, and drive cycle development. The course also covers standard vehicle testing procedures such as driver safety, dos and don'ts while testing, maintaining a vehicle test tracker, data sorting, and analysis, and the preparation of vehicle test reports. With the culmination of Module 7, learners will gain practical knowledge about electric vehicle components and their functionalities, as well as a foundation for EV testing. This is a must-have skill for professionals looking to excel in the automobile industry.

Capstone Projects

Module 8

Take up an individual project on EV powertrain modeling to develop a complete vehicle powertrain for specific vehicle segment. Develop simulation study, component selection selection strategy, develop vehicle level & component level SOR documents, understand the supplier discussions and decide the right design of powertrain.

Cell Testing & Characterisation

Modules 9 & 10

Modules 9 & 10 provide a comprehensive understanding of the fundamentals of cell testing. As part of the course, learners are given the opportunity to gain hands-on experience with Neware BTS hardware and a thermal chamber, which enables them to conduct practical tests on Li-Ion cells. The module covers various categories of cell testing, including performance testing, safety testing, and ageing testing. Learners are exposed to different testing techniques and methodologies, allowing them to select the appropriate tests for specific applications. Furthermore, they learn to use tools like Excel and MATLAB for data analysis, which helps them interpret test results effectively. By the end of the module, learners acquire the skills necessary to perform cell testing procedures, analyze test results accurately, and extract important cell parameters. Thus, these modules play a crucial role in equipping learners with the knowledge and practical skills required for successful cell testing in various industries.

Equivalent Circuit Based Li-Ion Cell Modeling

Module 11

In module 11, the learner uses the knowledge acquired in modules 2 and 3 to create a basic mathematical model of a Li-ion cell in Matlab and Simulink using principles of Thevenin’s equivalent circuit. Starting off with a very basic model called RINT, The learner first understands the method of cell modeling (data-driven model) and then progresses to an advanced model called 1 RC model. The model is then simulated for different current loads such as constant current and pulse discharge. At the end of module 11, the learner will be able to understand how Li-ion cells are modeled and simulated based on Thevenin's principles.

Battery Management System Algorithm Modeling (Single Cell)

Module 12

Module 12 of the course will cover topics related to Battery Management Systems (BMS) Algorithms & protection functionality developments. First will start with an understanding of the basics of BMS applications, the need for BMS modeling & simulation, Process of model development in the Simulink environment & will also learn BMS protection functionalities such as overvoltage, Undervoltage, overcurrent, etc. & estimations of cell parameters such as SOC by Coulomb & voltage-based approach. By the end of Module 12, the learner will be able to understand the system modeling of BMS, functionalities & basic estimation methods.

Capstone Projects

Module 13

EV Center of Competence

The lab facilities are equipped with state-of-the-art technology, providing an interactive learning experience with hands-on activities

Cell Testing Lab

Examine the performance of Lithium-ion cells concerning factors like current, temperature, cycle life, and other related parameters

The Cell Testing Lab provides unbiased analytical data to evaluate the quality of a product or process. It plays a crucial role in offering valuable insights and objective evaluations for informed decisions and identifying areas for improvement. The generated data serves as a reliable resource to assess and validate the effectiveness, performance, and reliability of products or processes.

Battery Management System

Learn how to create code that can be integrated into industry-grade hardware (specifically NXP) and apply algorithms to it

This lab offers in-depth knowledge on battery management, focusing on single-cell and multi-cell BMS. Equipped with advanced technology and tools, the lab facilitates hands-on learning experiences through practical experiments and simulations to optimise battery performance. Collaborate with industry experts and like-minded individuals in a dynamic environment to expand your knowledge and unlock the potential of BMS.

Vehicle Tear Down & Demonstration

You can avail access to the Ather 450 electric vehicle and its various components.

Vehicle Tear Down & Demonstration of Electric Vehicle Hands-on Session is a practical session that provides participants with hands-on experience in assembly of the electric vehicles. During the session, participants get to learn about the components of an electric vehicle, and how they work together to make an electric vehicle function. By attending this session, participants can advance their careers in the automotive industry and stay up-to-date with new developments in the field.

Chassis Dynamometer

Discover how to analyze Electric Vehicle behaviour, fine-tune motor controllers, and explore the functionalities of data logging.

The Chassis Dynamometer is an indispensable tool for electric vehicle testing at Decibels Lab EV Center of Competence. Its ability to replicate real-world driving conditions and provide accurate performance data allows us to optimize electric vehicles for enhanced efficiency, range, and overall driving experience. With our advanced Chassis Dynamometer, we are committed to pushing the boundaries of electric vehicle technology and supporting the transition to sustainable transportation.

4 Wheeler EV Demonstration

Sections of the 4W vehicle and its components have been made accessible to study

The MG ZS EV Demonstration Lab is a dedicated space where learners can explore and experience the advanced features and performance of the MG ZS EV. The lab offers a hands-on environment that allows learners and industry professionals to fully understand the capabilities and benefits of the electric vehicle.

Course Enrolment

Make a choice that will shape your professional path

  • Certification Course on Electric Vehicle Technology

    The course fee is 1,00,000 + 18% GST INR

    ₹118,000.00

    Enroll Now

Customers we have served

Contact us

Name Designation Email ID Mobile number
Naveen C S Center Co-Ordinator
 [email protected]
 +91 89515 03455
Dr. Sridhar R Associate Professor  [email protected]
 +91 97404 00717 


Other Course Offerings

  • Battery Management System Algorithm Development

  • EV Powertrain 1-D Simulation

  • Advance Driver Assistance System

  • Automotive Communication (CAN)

  • Vehicle Control Unit

  • Model-Based Design

  • Software Verification & Validation (MIL, SIL, PIL)

  • MATLAB Code Generation

  • Li-ion Cell Testing & Characterisation

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