Under this course, you are going to learn about the Electric Vehicle / Hybrid Vehicle Architecture & EV Drivetrain ISIEINDIA | Ev drivetrain, electric vehicle, hybrid vehicle

Design & Optimization of EV Drivetrain

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Faced with environmental issues caused by fossil fuel burning in the industrial and transportation sectors, innovations towards cleaner solutions to replace the ever-diminishing fossil fuels have been the focus of not only researchers but governments all around the world.

The hybrid electric vehicle (HEV) technology is the result of the desire to have vehicles with a better fuel economy and lower tailpipe emissions to meet the requirements of environmental policies as well as to absorb the impact of rising fuel prices. The objectives are met by combining a conventional internal combustion engine (ICE) with one or more electric motors powered by a battery pack that can be charged using an onboard generator and the regenerative braking technology to power the transmission. The challenge is to develop an efficient energy management strategy (EMS) to satisfy the objectives while not having a reduced vehicle performance. In this paper, EMSs that are proposed and developed in recent years are revisited and reviewed. Additionally, the Plug-in HEV is discussed from a new perspective from the EMS point of view. The through-the-road (TTR) HEV with in-wheel motors (IWM) is a fairly new concept in the HEV design that features a less complicated configuration with reduced hardware requirements and lower cost. Recent research findings are evaluated throughout this paper leading to a hypothetical TtR HEV materialization. A thorough discussion is made encompassing the advantages and disadvantages of the concept, its performance compared to conventional HEVs, and the way forward.

Program Overview:

The objectives of energy efficiency and zero emissions in road transportation imply a paradigm shift in the concept of the automobile regarding design, materials, and propulsion technology. A redesign of the electric and electronic architecture provides in many aspects additional potential for reaching these goals. At the same time, standardization within a broad range of features, components, and systems is a key enabling factor for a successful market entry of the electric vehicle (EV). It would lower production costs, increase interoperability and compatibilities, and sustain market penetration.

Under this course, you are going to learn about the Electric Vehicle / Hybrid Vehicle Architecture & EV Drivetrain, Mathematical Modelling Using Ricardo-Ignite, Performance &  Optimization.

What you will learn?

  • Construction of HEV and EV
  • You will learn about the type of HEV
  • You will learn, type of EV Drivetrain
  • Selection of drive train for your EV
  • Modeling of Drivetrain – Block setup Diagram (Ricardo-Ignite)
  • How to Improve Vehicle Performance and Fuel/Energy Consumption?
  • How to Optimize of Power Train
  • Control Strategy of a Hybrid Electric Vehicle for Maximum Energy Economy

Program outcomes
  • You will be having practical knowledge of Architecture of EV & Drive Train.

  • Skills and knowledge to perform Mathematical Modelling Using Ricardo-Ignite.

  • Analytical Knowledge of Performance & Optimization for EV drive train / Powertrain.

  • Mobile/Laptop/Tablet with good internet connectivity.
  • Seeking Career Opportunity in E-Mobility
  • Interest in electric vehicles, telecom, solar, aerospace or consumer electronics applications.


  • 10 Lessons
  • 03:31:00 Hours
  • Construction of Electric Vehicles-EV00:13:00
  • Construction of Hybrid Vehicle-HEV and Types00:12:00
  • Complete Vehicle System Modelling & Drive Cycle Simulation- Using Ricardo Ignite 00:50:00
  • Type of Drive Train00:21:00
  • Selection of Drive Train 00:20:00
  • Mathematical Modelling of Drive train00:29:00
  • Modelling of Drivetrain – Block setup Diagram (Ricardo-Ignite)00:28:00
  • Improve Vehicle Performance and Fuel/Energy Consumption00:22:00
  • Optimization of Power Train and Control Strategy of a Hybrid Electric Vehicle for Maximum Energy Economy00:16:00
  • Assessment 1

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