周彬｜三峡大学｜学者主页

个人简介

周彬，三峡大学机械与动力学院讲师，智能制造工程系主任。研究方向为混合动力汽车能量管理策略，聚焦等效消耗最小化策略（ECMS）及其在电池老化、驾驶风格、实时优化等场景中的应用。主持湖北省自然科学基金青年项目，参与多项国际汽车企业合作项目及国家自然科学基金项目。

精选作品

期刊论文

2026

边缘场景下计及驾驶员认知处理过程的驾驶风险场模型构建

周彬，杨志峰，张峻宁，董元发，彭巍

《中国机械工程》

2025

考虑驾驶风格的混合动力汽车自适应等效能耗最小化策略

周彬，王代辉，董元发，安友军，彭巍

《汽车技术》

2025

考虑电池衰退成本的HEV自适应等效能耗最小化策略

周彬，王代辉，杨志峰，AMIR Rezaei，董元发

《计算机集成制造系统》

DOI

2024

Adaptive Equivalent Consumption Minimization Strategy with Battery Aging Considerations for Parallel Hybrid Electric Vehicle

Bin Zhou, Daihui Wang, Zhifeng Yang, Yuanfa Dong, Youjun An, Wei Peng

2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)

DOI

2020

Equivalent Consumption Minimization Strategy With Consideration of Battery Aging for Parallel Hybrid Electric Vehicles

Bin Zhou, J. Burl, Amir Rezaei

IEEE Access

DOI

2019

A New Real-Time Optimal Energy Management Strategy for Parallel Hybrid Electric Vehicles

Amir Rezaei, J. Burl, Bin Zhou, M. Rezaei

IEEE Transactions on Control Systems Technology

DOI

2018

Catch Energy Saving Opportunity in Charge-Depletion Mode, a Real-Time Controller for Plug-In Hybrid Electric Vehicles

Amir Rezaei, J. Burl, M. Rezaei, Bin Zhou

IEEE Transactions on Vehicular Technology

DOI

2018

Estimation of the ECMS Equivalent Factor Bounds for Hybrid Electric Vehicles

Amir Rezaei, J. Burl, Bin Zhou

IEEE Transactions on Control Systems Technology

DOI

2017

Catch energy saving opportunity (CESO), an instantaneous optimal energy management strategy for series hybrid electric vehicles

Amir Rezaei, J. Burl, A. Solouk, Bin Zhou, M. Rezaei, M. Shahbakhti

DOI

研究方向

混合动力汽车能量管理策略

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