Modeling and Integration of Electric Vehicle Regenerative and Friction Braking for Motor/Dynamometer Test Bench Emulation
Abstract
This paper provides a new approach for emulating electric vehicle (EV) braking performance on a motor/dynamometer test bench. The brake force distribution between regenerative braking and friction braking of both the front and rear axles are discussed in detail. A brake controller is designed, which represents a very close model of an actual EV braking system and takes into account both regenerative and friction braking limitations. The proposed brake controller is then integrated into the controller of an EV hardware-in-the-loop (HIL) test bench, and its performance is validated in real-time. The effect of adding the brake model is further investigated by comparing the experimental HIL energy consumption results with those obtained from ADvanced VehIcle SimulatOR (ADVISOR).
Recommended Citation
P. Fajri et al., "Modeling and Integration of Electric Vehicle Regenerative and Friction Braking for Motor/Dynamometer Test Bench Emulation," IEEE Transactions on Vehicular Technology, vol. 65, no. 6, pp. 4264 - 4273, Institute of Electrical and Electronics Engineers (IEEE), Jun 2016.
The definitive version is available at https://doi.org/10.1109/TVT.2015.2504363
Department(s)
Electrical and Computer Engineering
Research Center/Lab(s)
Intelligent Systems Center
Keywords and Phrases
Brakes; Braking; Controllers; Electric Machine Control; Electric Vehicles; Energy Utilization; Friction; Friction Materials; Front Axles; Regenerative Braking; Traction Motors; Tribology; Vehicles; Advanced Vehicle; Brake Controller; Braking System; Force Distributions; Friction Braking; Hardware In The Loops; New Approaches; Test Benches; Braking Performance; Electric Vehicle (EV); Motor/Dynamometer
International Standard Serial Number (ISSN)
0018-9545; 1939-9359
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2016 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jun 2016