Electrification of Mobility
Introduction to principles of electrification; electric drives and energy storage systems; and xEV architectures and energy management
14 - 16 July 2025
A two-and-one-half-day short course
Table of content
| 1. Lecturer | 2. Target Group | 3. Modules: Day 1 - Day 2 - Day 3 (half Day) |
Lecturer:
Prof. Giorgio Rizzoni, The Ohio State University
More information about Prof. Rizzoni
Target Group
The course has been designed for automotive/mechanical engineers and researchers, with the aim of reviewing xEV technology and the challenges and opportunities associated with e-mobility. Prof. Rizzoni has been engaged in engineering research and education in e-mobility for over 30 years; this course represents a compendium of material he teaches in a graduate level course at The Ohio State University, and it is designed to provide a comprehensive introduction to the subject matter to automotive/mechanical engineers without significant prior exposure to the subject.
Modules
Day 1
Module 1: Electrification of Mobility
- History of e-mobility
- Energy considerations
- Primary energy sources
- Well-to-tank energy and emissions analysis – electricity and non-petroleum-based fuels are not necessarily carbon-free
- Vehicle energy use and regulatory environment
- Understanding vehicle energy consumption
- Impact of electrification
- Some observations on world vehicle markets
Module 2: xEV architectures
- Benefits of electrification
- xEV architectures
- HEV and PHEV development over the past 25 years; case study: the Toyota Hybrid Systems
- BEV Architectures
- Regenerative Braking
Module 3: Electric Machines, Electric Drives and Power Converters
- Basic operating characteristics of electric machines
- DC machines
- AC Machines operating principles
- AC Induction machines
- Permanent Magnet Synchronous Machines
- Basic introduction and operating principles of Power Converters
- Control of electric drives
- Introduction to Modeling and Design of Electric Drives and Power Converters
Day 2
Module 1: Introduction to Energy Storage Systems
- Introduction to energy storage systems for automotive applications
- Notation and definitions
- Overview of li-ion battery technology: operating principles, properties of electrode materials, state of the art, materials for next-generation cells
- Battery cell modeling
- System integration principles for modules and packs
- Battery Management Systems (BMS), state of charge, power and health estimation, balancing, other safety and protection features
- Thermal Management Systems (TMS), solutions for passive and active cooling
- Battery charging standards, service equipment
- Battery life: State of Health (SoH) and Residual Useful Life (RUL)
- Test Protocols to Characterize Degradation in Cells
Module 2: Introduction to Energy Management Systems
- Review energy management concepts for hybrid electric powertrains
- Introduce principles of optimal control, including Dynamic Programming, the Minimum Principle, and Equivalent Consumption Minimization Strategy (ECMS)
- Case studies and design and calibration of optimal energy management strategies with emissions, battery aging and drive quality contraints
Module 3: Electric Propulsion Technology in Motorsports
- A little history of electric motorsports, from 1899 to 1999
- Electric land speed records
- xEV technology in motorsports today
Day 3 (half day): Computational Laboratory
Module 1: BEV laboratory, with focus on regenerative braking
The day starts with a laboratory in which the participants will explore the simulated performance of a BEV using a simulator that is capable of simulating many important aspects of a battery electric vehicle including regenerative braking. Demonstrations and exercises in simulation focus on understanding the interaction of electromechanical regenerative braking with friction braking, with consideration of braking performance, energy recuperation and vehicle stability.
Module 2: HEV laboratory, with focus on optimal energy management
The course closes with a laboratory in which the participants will use a detailed simulation model of a PHEV to explore the design and calibration of energy management strategies. Matlab/Simulink-based code will be provided to the participants.