Electric Vehicle Powertrain Performance Design
What you'll learn
- State the main systems/components of an electric vehicle and how do they operate
- Explain the different types of powertrain architecture and their advantages and disadvantages
- Identify which are the factors that affect the dynamic performance and energy efficiency of an electric vehicle
- Calculate the resistant forces for an electric vehicle during different driving scenarios
- Run a drive cycle (WLTC) simulation and calculate the average energy consumption
- Calculate the parameters of the battery pack in order to meet the vehicle range and dynamic performance requirements
- Calculate the parameters of the electric machine in order to meet the dynamic performance requirements
- Simulate and electric vehicle model and compare the maximum speed, range and acceleration time against requirements
- Use Scilab to perform engineering calculations and data plots
- Use Xcos to perform electric vehicle modeling, run drive cycles and interpret results
Requirements
- Basic physics knowledge
- Basic mathematics
- Scilab programming (optional)
- Xcos modeling (optional)
Description
This is a hands-on course, explaining step-by-step, with real applications, how to size/calculate the parameters of the high voltage battery and electric machine, based on performance requirements.
Starting with performance requirements: top speed, 0-100 kph acceleration time and maximum range, we will calculate the parameters of the battery pack and electric machine required to achieve the performance attributes.
The main components of the powertrain (high voltage battery, electric machine, transmission and DCDC converter) are explained, describing their main parameters and operating mode.
A brief description of the electric vehicle powertrain architectures is provided, explaining the main components, how they operate, and which are the advantages and disadvantages of each type.
Based on the vehicle's longitudinal dynamics, a drive cycle will be run in Scilab, which will provide the average energy consumption of the vehicle.
The parameters of the electric machine and high voltage battery will be calculated to meet the performance requirements of the electric vehicle.
A full electric vehicle dynamic model will be developed in Xcos and run through various cycles: top speed, hill climb and homologation drive cycle, to assess the performance of the powertrain against requirements.
A complete set of Scilab scripts will be developed for components sizing, data processing and data visualization.
A full tutorial will be provided on how to use the on-line (web based) simulation tool for electric vehicle powertrain design
Disclaimer: This course has no connection with my current or previous employers, this is solely an educational course done in my free time, outside working hours, using personal software tools and equipment. All content in this course is my personal contibution and should not be attributed to my current or former employer in any way or method.
Who this course is for:
- Students in automotive engineering who are trying to perfect their skills and knowledge
- Engineers interested in electric vehicle technology and simulation
- Engineers and technicians working in the electric vehicle conversion domain
- Technical leaders which require good understanding of EV technology
- Anyone interested to learn about electric vehicles
Instructor
- 4.3 Instructor Rating
- 102 Reviews
- 607 Students
- 1 Course
Automotive engineer with 20 years of experience in powertrain control for hybrid and electric vehicles, energy efficiency and electric vehicle charging systems.
Worked as control system engineer, control system architect and technical leader at prestigious automotive companies.
I'm proficient in control system design for internal combustion engines, automatic transmissions, hybrid/electric powertrains and high voltage charging systems.