Certification Course on Electric Vehicle Technology
Starts on 4th December 2023, With course duration of 6 months & placement assistance provided
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.
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
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EV components and subsystems & practical visit EV Lab
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MATLAB programming from basics to advanced
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Simulink for Model Based Design
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Stateflow to develop control algorithms
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EV Powertrain System system modeling
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Quasi-static & Dynamics based Powertrain modelling
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Component sizing & optimisation
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Cell & battery testing
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Li-ion cell digital twin development
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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
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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
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Battery Management System Algorithm Development
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EV Powertrain 1-D Simulation
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Advance Driver Assistance System
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Automotive Communication (CAN)
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Vehicle Control Unit
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Model-Based Design
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Software Verification & Validation (MIL, SIL, PIL)
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MATLAB Code Generation
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Li-ion Cell Testing & Characterisation