A Torque Demand Model Predictive Control Approach for Driving Energy Optimization of Battery Electric Vehicle

Author:

He ZejiaORCID,Shi Qin,Wei Yujiang,Zheng Jianxin,Gao BingzhaoORCID,He LinORCID

Funder

National Key Research and Development Program of China

Science and Technology Special Project of Anhui Province

Innovation Project of New Energy Vehicle

Intelligent Connected Vehicle of Anhui Province

Foundation of State Key Laboratory of Automotive Simulation and Control

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A model-tuned backstepping control approach for angle demand following of steer-by-wire system;International Journal of Control;2024-06-18

2. Predicting the Torque Demand of a Battery Electric Vehicle for Real-World Driving Maneuvers Using the NARX Technique;World Electric Vehicle Journal;2024-03-08

3. Analysis of intelligent and connected vehicles driving system modeling;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2024-01-29

4. Gear error control and response of electric vehicle transmission gearing based on gear trimming;Journal of Vibroengineering;2024-01-03

5. Analysis of Dynamic and Economic Performance for Electric Vehicles with Torque Coordinated Control Strategy in CLTC;2023 26th International Conference on Electrical Machines and Systems (ICEMS);2023-11-05

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