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Advanced Topics in Energy Storage System and Electric Vehicle Drivetrain Design (didattica di eccellenza)
01DPIRO
A.A. 2021/22
Course Language
Inglese
Degree programme(s)
Doctorate Research in Ingegneria Meccanica - Torino
Course structure
| Teaching | Hours |
|---|---|
| Lezioni | 20 |
Lecturers
| Teacher | Status | SSD | h.Les | h.Ex | h.Lab | h.Tut | Years teaching |
|---|---|---|---|---|---|---|---|
| Amati Nicola | Professore Ordinario | IIND-03/A | 2 | 0 | 0 | 0 | 1 |
Co-lectures
Context
| SSD | CFU | Activities | Area context | *** N/A *** |
|---|
The advanced modeling, testing, analysis, and design
techniques needed to create next generation energy
storage and electrified traction systems are the focus of
this course. Topics will include battery aging, state
estimation, machine learning, ultrafast charging, thermal
design, hybrid energy storage, prototype vehicle design
and fabrication, and powertrain optimization.
The advanced modeling, testing, analysis, and design
techniques needed to create next generation energy
storage and electrified traction systems are the focus of
this course. Topics will include battery aging, state
estimation, machine learning, ultrafast charging, thermal
design, hybrid energy storage, prototype vehicle design
and fabrication, and powertrain optimization.
.
.
1 Battery Fundamentals, Testing, Safe Practices, and Management Systems 2 hours
2 Battery and Ultracapacitor Modeling 2 hours
3 Battery Aging 2 hours
4 Battery State Estimation 2 hours
5 Machine Learning for Battery Applications 2 hours
6 Electric Vehicle Modeling, Design, Build, and Instrumentation 2 hours
7 Optimized Design of Electric Powertrains 2 hours
8 Hybrid Energy Storage for Electric and Plug-In Hybrid Electric Vehicles 2 hours
9 Ultrafast Charging for Electric Vehicles 2 hours
10 Loss Modeling and Thermal Modeling of Battery Cells and Modules 2 hours
1 Battery Fundamentals, Testing, Safe Practices, and Management Systems 2 hours
2 Battery and Ultracapacitor Modeling 2 hours
3 Battery Aging 2 hours
4 Battery State Estimation 2 hours
5 Machine Learning for Battery Applications 2 hours
6 Electric Vehicle Modeling, Design, Build, and Instrumentation 2 hours
7 Optimized Design of Electric Powertrains 2 hours
8 Hybrid Energy Storage for Electric and Plug-In Hybrid Electric Vehicles 2 hours
9 Ultrafast Charging for Electric Vehicles 2 hours
10 Loss Modeling and Thermal Modeling of Battery Cells and Modules 2 hours
Modalità mista
Mixed mode
Presentazione report scritto
Written report presentation
P.D.2-2 - Marzo
P.D.2-2 - March