A swarm intelligence-based predictive regenerative braking control strategy for hybrid electric vehicle-Reference-Cited by-同舟云学术

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A swarm intelligence-based predictive regenerative braking control strategy for hybrid electric vehicle

Published:2020-11-17 Issue: Volume: Page:1-25
ISSN:0042-3114
Container-title:Vehicle System Dynamics
language:en
Short-container-title:Vehicle System Dynamics

Author:

Zhang Yuanbo¹,Wang Weida¹,Xiang Changle¹,Yang Chao¹,Peng Haonan¹,Wei Chao¹

Affiliation:

1. School of Mechanical Engineering, Beijing Institute of Technology, Beijing, People’s Republic of China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Safety, Risk, Reliability and Quality,Automotive Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00423114.2020.1845387

Reference43 articles.

1. Comparison of Three Electrochemical Energy Buffers Applied to a Hybrid Bus Powertrain With Simultaneous Optimal Sizing and Energy Management

2. Vehicle dynamics control of an electric-all-wheel-drive hybrid electric vehicle using tyre force optimisation and allocation

3. Energy recovery based on pedal situation for regenerative braking system of electric vehicle

4. Impact of regenerative braking torque blend-out characteristics on electrified heavy road vehicle braking performance

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3. Torque fault compensation in electric vehicle switched reluctance motor drives: A jellyfish search optimization method;Optimal Control Applications and Methods;2024-06-05

4. Research on regenerative braking control of electric vehicles based on game theory optimization;Science Progress;2024-04

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