A Novel Approach of Electric Powertrain Co-Simulation with High Fidelity Vehicle Model
Paper in proceeding, 2022

This paper presents a co-simulation approach for an electric vehicle which combines dynamic models of electric machine, inverter, gearbox in PLECS with high fidelity models of driver, autobody, wheel, road and environment in CarMaker. Lumped parameter thermal networks to model heat dissipation in the electric machine and the inverter are also included. The aim is to demonstrate versatility of the co-simulation method in analyzing effects of driver behaviors on thermal performance of electric machine and inverter. Co-simulation results using two simulation tools are compared to those obtained entirely using a single tool. It is observed that performing co-simulation using low fidelity vehicle model results in underestimation of vehicle speed. Further, the impacts of three different driver models on the temperatures of electric machine windings and semiconductor junctions are analyzed. Differences of 30% and 25% in the maximum temperature are observed respectively between an aggressive and a defensive driver.

inverters

electric vehicles

thermal analysis

system simulation

permanent magnet synchronous machines

Author

Bowen Jiang

Chalmers, Electrical Engineering, Electric Power Engineering

Nimananda Sharma

Chalmers, Electrical Engineering, Electric Power Engineering

Yujing Liu

Chalmers, Electrical Engineering, Electric Power Engineering

Chuan Li

Student at Chalmers

Xiaoliang Huang

Chalmers, Electrical Engineering, Electric Power Engineering

IECON Proceedings (Industrial Electronics Conference)

21624704 (ISSN) 25771647 (eISSN)

Vol. 2022-October
9781665480253 (ISBN)

48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022
Brussels, Belgium,

Integrated Modular Distributed Drivetrain for Electric/Hybrid Vehicles

European Commission (EC) (EC/H2020/769989), 2017-10-01 -- 2019-09-30.

Subject Categories

Aerospace Engineering

Vehicle Engineering

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/IECON49645.2022.9969059

More information

Latest update

10/27/2023