姓名 |
陈峥 |
头衔 |
教授；博导 |
部门 |
昆明理工大学交通工程工程学院 |
电子邮件 |
chen@kust.edu.cn |
论文网址 |
ORCID： https://orcid.org/0000-0002-1634-7231 Researchgate: https://www.researchgate.net/profile/Zheng-Chen-64 Google scholar: https://scholar.google.com/citations?user=MogFwRIAAAAJ&hl=en |
课题组网站 |
https://www.x-mol.com/groups/Chen_zheng |
一、个人简介
陈峥，男，汉族，1982年8月生，教授，博士生导师，长期从事智能网联汽车节能行驶控制、动力电池管控、新能源汽车动力系统优化控制等领域的研究。西北工业大学本科/硕士，西北工业大学与美国密歇根大学（迪尔本）联合培养博士，密歇根大学博士后。欧盟玛丽居里学者，国家高层次人才特殊支持计划（青年拔尖人才），英国工程技术学会会士（IET Fellow），云南省引进海外高层次人才 ，全球前2%顶尖科学家。现任云南省新能源汽车生产力促进中心、云南省高校新能源汽车控制与运行安全创新团队、云南省车辆智能控制与运行安全研究生导师团队等平台负责人。兼任中国自动化学会车辆控制与智能化专委会及平行智能专委会委员、IEEE PES中国区电动汽车技术委员会动力电池分委会以及电动汽车与交通智能融合分委会常务理事。2014年至今，在昆明理工大学工作。
研究领域:
智能网联汽车节能控制；动力电池系统管控；新能源汽车动力系统优化控制；最优控制及深度学习
科研及教学成果:
围绕国家大力发展新能源汽车战略，针对新能源汽车动力系统控制面临的关键科学技术难题，研发了具有完全自主知识产权的强工程适用性动力系统高效管控技术。近年来，主持国家高层次人才支持计划项目、国家重点研发计划项目（子课题）、国家自然科学基金、工业和信息化部重点项目、教育部产学研协同育人项目、省重大科技专项、横向合作等项目40余项；以第一或通信作者发表核心论文180余篇（SCI一二区论文100余篇），Google学术引用6800余次；参编新能源汽车领域中英文专著各1部；授权发明专利30余项；先后获云南省自然科学奖二等奖2项（排1），入选全球前2%顶尖科学家，2016年入选“云南省海外高层次人才引进计划”，2022年入选“国家高层次人才支持计划”，中国产学研合作创新成果二等奖（排1）。
教学方面，获省研究生教学成果一等奖、省“先进班集体”班主任、校教学成果特等奖、最美最亲班主任、伍达观杰出教师奖等荣誉。
二、成就及获奖
2023 国家高层次人才特殊支持计划（国家级青年人才）
2023 国家产学研创新成果奖（排名第一）
2023 云南省自然科学奖 二等奖（排名第一）
2022 中国车辆控制与智能化会议（CVCI2022）节能挑战赛 铜奖
2022 《重庆理工大学学报》十佳编委
2021 第34届国际电动汽车学术研讨会（EVS34） 优秀论文奖
2021 全球前2%顶尖科学家（2021科学影响力排行，Stanford发布）
2020 云南省自然科学奖 二等奖（排名第一）
2019 欧盟“玛丽居里夫人”学者
2018 IEEE VTS电动车挑战赛（IEEE Vehicular Technology Society）一等奖（全球第二）
2018 欧盟研究与创新框架计划 杰出研究奖Seal of Excellence（ 2014-2020）
2017 Applied Energy/Applied Thermal Engineering杰出审稿贡献奖
2017 Journal of the Franklin Institute杰出审稿贡献奖
2017 IEEE VTS电动车挑战赛（IEEE Vehicular Technology Society）一等奖（全球第二）
2017 云南省“伍达观”杰出教师奖
2016 云南省“红云”教育成果奖
2016 云南省引进海外高层次人才 （1/6）
三、学术兼职
多个著名期刊编委：
1) IEEE Transactions on Transportation Electrification
2) iScience
3) 中国公路学报
4) 重庆理工大学学报
5) Vehicles
多个著名期刊审稿人：
1) Joule
2) Advanced Energy Materials
3) Energy Storage Materials
4) iScience
5) IEEE Transactions on Industrial Electronics
6) IEEE Transactions on Power Electronics
7) IEEE Transactions on Industrial Informatics
8) IEEE Transactions on Transportation Electrification
9) IEEE Transactions on Vehicular Technology
10) IEEE Transactions on Intelligent Transportation Systems
11) IEEE/ASME Transactions on Mechatronics
12) IEEE Transactions on Industry Applications
13) IEEE Transactions on Energy Conversion
14) IEEE Control Systems Letters
15) IEEE Journal of Emerging and Selected Topics in Power Electronics
16) IEEE Transactions on Applied Seminconductities
17) IEEE Access
18) Renewable & Sustainable Energy Reviews
19) Applied Energy
20) Journal of Power Sources
21) Applied Thermal Engineering
22) Energy Conversion and Management
23) Journal of Cleaner Production
24) Energy
25) Journal of the Franklin Institute
26) Transportation Research Part D-Transport and Environment
27) Electrochemical Acta
28) Energy Science and Technology
29) Applied Mathematical Modeling
30) Proceedings of the iMeche Part C: Journal of Mechanical Engineering Science.
31) Renewable Energy
32) Energy Technology
33) International Journal of Electrical Power & Energy Systems
34) International Journal of Energy Research
35) Nonlinear Engineering
36) IET Intelligent Transport Systems
37) Journal of Asian Electric Vehicles
38) Solar Energy
39) Journal of Renewable and Sustainable Energy
40) Results in Physics
41) Journal of Energy
42) Journal of Energy Storage
43) World Electric Vehicle Journal
44) Vehicles
45) Energy Science & Engineering
46) Energy and AI
47) eTransportation
48) SAE International Journal of Electrified Vehicles
49) IEEE Vehicle Power and Propulsion Conference
50) ASME International Design Engineering Technical Conference
51) Applied Power Electronics Conference
52) International Symposium on Electric Vehicles
53) IEEE Conferences on Decision and Control
54) IEEE International Transportation Electrification Conference and Expo, Asia-Pacific
55) International Symposium on Industrial Electronics
56) American Control Conference
多个国际国内学术组织高级会员、资深会员：
1) Fellow, The Institution of Engineering and Technology (IET)
2) Senior Member, IEEE
3) Senior Member, Chinese Mechanical Engineering Society
4) Member, Chinese Association of Automation
5) Member, China Automotive Engineering Institute
6) Member of IEEE Control Systems Society
7) Member of IEEE Industrial Electronics Society
8) Member of IEEE Vehicular Technology Society
学会委员：
1) Committee Member, Autonomous Driving Society, Chinese Association for Artificial Intelligence
2) Committee Member, Power Battery Technology Chapter, Power Electronics Society, IEEE
3) Committee Member, Electric Vehicles and Energy Transportation Fusion Technology Chapter, Power Electronics Society, IEEE
4) Committee Member, Simulation Society, Chinese Association of Automation
5) Committee Member, Simulation Technology and Application Society, Chinese Association of Simulation
6) Committee Member, Parallel Intelligence Society, Chinese Association of Automation
7) Committee Member, Vehicle Control and Intelligence Society, Chinese Association of Automation
国内外学术会议主席、共同主席:
1) Session chair, The 6th CAA International Conference on Vehicular Control and Intelligence, Nanjing, China, Oct. 2022.
2) Session chair, The 5th CAA International Conference on Vehicular Control and Intelligence, Hangzhou, China, Oct. 2021.
3) Session chair, The 4th CAA International Conference on Vehicular Control and Intelligence, Hangzhou, China, Dec. 2020.
4) Committee member, International Symposium on Electric Vehicles, Norway, Jul. 2019
5) Technical committee member, IEEE VTS Motor Challenge, 2019
6) Technical committee member, IEEE Vehicle power and propulsion conference, Chicago, 2018
7) Session chair, IEEE Vehicle Power and Propulsion Conference, Belfort, France, 2017
8) Session Chair, International Symposium on Electric Vehicles, Sweden, 2017
9) Committee Member, Chinese Automation Conference, Jinan, China, 2017
10) General Chair, The Symposium of Yunnan New Energy Vehicles, Kunming, China, 2016.
11) Session Chair, IEEE Transportation Electrification Conference, Dearborn, USA, 2015.
12) Session Chair, The 5th IEEE Vehicle Power and Propulsion Conference, Dearborn, USA, 2009.
四、代表出版物
著作：
[1] Book: Yonggang Liu, Zheng Chen, Intelligent Algorithm Design for Energy Management of Clean Energy Vehicles, Chongqing University Press, 2020 (In Chinese)
[2] Book chapter: Xi Zhang, Chris Mi, Vehicular Power Management, Springer, 2011 (Sects. 6.1 to 6.2, and Sect. 7.5)
学术期刊：
[1] Jiangwei Shen, Wensai Ma, Zheng Chen*, Yonggang Liu, Shiquan Shen, Accurate State of Health Estimation for Lithium-Ion Batteries under Random Charging Scenarios, Energy, 279 (12), Jun. 2023
[2] Jie Li, Abbas Fotouhi, Wenjun Pan, Yonggang Liu, Yuanjian Zhang, Zheng Chen*, Deep reinforcement learning-based eco-driving control for connected electric vehicles at signalized intersections considering traffic uncertainties, Energy, 279 (6), Jun. 2023
[3] Xing Shu, Zheng Chen*, Jiangwei Shen, Shiquan Shen, Fengxiang Guo, Yonggang Liu, Yuanjian Zhang, Ensemble learning and voltage reconstruction based state of health estimation for lithium-ion batteries with twenty random samplings, IEEE Transactions on Power Electronics, Jan. 2023.
[4] Simin Wu, Zheng Chen*, Shiquan Shen, Jiangwei Shen, Fengxiang Guo, Yonggang Liu and Yuanjian Zhang, Hierarchical cooperative eco-driving control for connected autonomous vehicle platoon at signalized intersections, IET Intelligent Transport Systems, 2023.
[5] Hongqian Zhao, Zheng Chen*, Xing Shu, Jiangwei Shen, Zhenzhen Lei, Yuanjian Zhang, State of health estimation for lithium-ion batteries based on hybrid attention and deep learning, Reliability Engineering & System Safety, Dec. 2022.
[6] Hongqian Zhao, Zheng Chen*, Xing Shu, Jiangwei Shen, Yonggang Liu, Yuanjian Zhang, Multi-step ahead voltage prediction and voltage fault diagnosis based on gated recurrent unit neural network and incremental training, Energy, Dec. 2022.
[7] Zheng Chen, Simin Wu, Shiquan Shen, Yonggang Liu, Fengxiang Guo, Yuanjian Zhang, Co-optimization of velocity planning and energy management for autonomous plug-in hybrid electric vehicles in urban driving scenarios, Energy, Jan. 2023.
[8] Yonggang Liu, Yitao Wu, Xiangyu Wang, Liang Li, Yuanjian Zhang, Zheng Chen*, Energy management for hybrid electric vehicles based on imitation reinforcement learning, Energy, Jan. 2023.
[9] Shiquan Shen, Shun Gao, Yonggang Liu, Yuanjian Zhang, Jiangwei Shen, Zheng Chen*, Zhenzhen Lei, Real-time energy management for plug-in hybrid electric vehicles via incorporating double-delay q-learning and model prediction control, IEEE Access, Dec. 2022.
[10] Chunyan Shuai, Fang Yang, Wencong Wang, Jun Shan, Zheng Chen*, Xin Ouyang, Promoting charging safety of electric bicycles via machine learning, iScience, Dec 2022.
[11] Xing Shu, Jiangwei Shen, Zheng Chen*, Yuanjian Zhang, Yonggang Liu, Yan Lin, Remaining capacity estimation for lithium-ion batteries via co-operation of multi-machine learning algorithms, Reliability Engineering & System Safety, Dec. 2022.
[12] Yonggang Liu, Bin Huang, Yang Yang, Zhenzhen Lei, Yuanjian Zhang, Zheng Chen*, Hierarchical speed planning and energy management for autonomous plug-in hybrid electric vehicle in vehicle-following environment, Energy, Dec. 2022.
[13] Jie Li, Yonggang Liu, Abbas Fotouhi, Xiangyu Wang, Zheng Chen*, Yuanjian Zhang, Liang Li, Cooperative ecological adaptive cruise control for plug-in hybrid electric vehicle based on approximate dynamic programming, IEEE Transactions on Vehicular Technology, Oct. 2022.
[14] Chunyan Shuai, Yu Sun, Xiaoqi Zhang, Fang Yang, Xin Ouyang, Zheng Chen*, Intelligent diagnosis of abnormal charging for electric bicycles based on improved dynamic time warping, IEEE Transactions on Industrial Electronics, Sep. 2022.
[15] Qiao Xue, Junqiu Li, Zheng Chen*, Yuanjian Zhang, Yonggang Liu, Jiangwei Shen, Online capacity estimation of lithium-ion batteries based on deep convolutional time memory network and partial charging profiles, IEEE Transactions on Vehicular Technology, Sep. 2022.
[16] Yuanjian Zhang, Zheng Chen*, Guang Li, Yonggang Liu, Yanjun Huang, A novel model predictive control based co-optimization strategy for velocity planning and energy management of intelligent PHEVs, IEEE Transactions on Vehicular Technology, Aug. 2022.
[17] Yonggang Liu, Dekun Gao, Kening Zhai, Qi Huang, Zheng Chen*, Yi Zhang, Coordinated control strategy for braking and shifting for electric vehicle with two-speed automatic transmission, eTransportation, Aug. 2022.
[18] Guodong Zhao, Yonggang Liu, Kening Zhai, Fengyang Jiang, Qi Huang, Zheng Chen*, Research on intelligent launching control of dual clutch transmissions based on adaptive neural fuzzy inference system, Journal of Mechanical Science and Technology, Jul. 2022.
[19] Yu Liu, Yuanjian Zhang, Hanzhengnan Yu, Zhigen Nie, Yonggang Liu, Zheng Chen*, A novel data-driven controller for plug-in hybrid electric vehicles with improved adaptabilities to environment, Journal of Cleaner Production, Feb. 2022.
[20] Zheng Chen, Hongqian Zhao, Yuanjian Zhang, Shiquan Shen, Jiangwei Shen and Yonggang Liu, State of health estimation for lithium-ion batteries based on temperature prediction and gated recurrent unit neural network, Journal of Power Sources, Feb. 2022.
[21] Yuanjian Zhang, Yanjun Huang, Zheng Chen*, and Yonggang Liu, An optimal control strategy for plug-in hybrid electric vehicles based on enhanced model predictive control with efficient numerical method, IEEE Transactions on Transportation Electrification, Jan. 2022.
[22] Zhihang Chen, Yonggang Liu, Yuanjian Zhang, Zhenzhen Lei, Zheng Chen* and Guang Li, A neural network-based ECMS for optimized energy management of plug-in hybrid electric vehicles, Energy, Mar. 2022.
[23] Jiangwei Shen, Wensai Ma, Jian Xiong, Xing Shu, Yuanjian Zhang, Zheng Chen*, Yonggang Liu, Alternative combined co-estimation of state of charge and capacity for lithium-ion batteries in wide temperature scope, Energy, Jan. 2022.
[24] Zheng Chen, Hongji Gu, Shiquan Shen*, Jiangwei Shen, Energy management strategy for power-split plug-in hybrid electric vehicle based on MPC and double Q-learning, Energy, Jan. 2022.
[25] Yonggang Liu, Gang Liu, Yitao Wu, Wen He, Yuanjian Zhang and Zheng Chen*, Reinforcement learning based decision and control for autonomous vehicle at two-way single-lane unsignalized intersection, Electronics, Apr. 2022.
[26] Yonggang Liu, Jie Li, Jun Gao, Zhenzhen Lei, Yuanjian Zhang, Zheng Chen*, Prediction of vehicle driving conditions with incorporation of stochastic forecasting and machine learning and a case study in energy management of plug-in hybrid electric vehicles, Mechanical Systems and Signal Processing, 2022.
[27] Xing Shu, Jiangwei Shen, Yuanjian Zhang, Guang Li, Zheng Chen* and Yonggang Liu*, State of health prediction of lithium-ion batteries based on machine learning: Advances and perspectives, iScience (Cell Press), Nov. 2021.
[28] Xing Shu, Jiangwei Shen, Yuanjian Zhang, Guang Li, Zheng Chen* and Yonggang Liu*, Protocol for state-of-health prediction of lithium-ion batteries based on machine learning, STAR Protocols (Cell Press), Vol. 3, No. 2, June. 2022.
[29] Xing Shu, Zheng Chen*, Jiangwei Shen, Fengxiang Guo, Yuanjian Zhang and Yonggang Liu, State of charge estimation for lithium-ion battery based on hybrid compensation modeling and adaptive H-infinity filter, IEEE Transactions on Transportation Electrification, Mar. 2022.
[30] Zhigen Nie, Yuan Jia, Wanqiong Wang, Zheng Chen*, Rachid Outbib, Co-optimization of speed planning and energy management for intelligent fuel cell hybrid vehicle considering complex traffic conditions, Energy, May. 2022.
[31] Zheng Chen, Hongqian Zhao, Yuanjian Zhang, Jiangwei Shen, Shiquan Shen and Yonggang Liu, Stage of charge estimation for lithium-ion batteries based on long short-term memory network modelling and adaptive H-infinity filter, Energy, Aug. 2021.
[32] Jie Li, Yonggang Liu, Yuanjian Zhang, Zhenzhen Lei, Zheng Chen*, Guang Li, Data-driven based eco-driving control for plug-in hybrid electric vehicles, Journal of Power Sources, 2021.
[33] Yuanjian Zhang, Chongfeng Wei, Yonggang Liu, Zheng Chen*, Zhuoran Hou, Nan Xu, A novel optimal power management strategy for plug-in hybrid electric vehicle with improved adaptability to traffic conditions, Journal of Power Sources, 2021.
[34] Qiao Xue, Guang Li, Yuanjian Zhang, Shiquan Shen, Zheng Chen*, Yonggang Liu, Fault diagnosis and abnormality detection of lithium-ion battery packs based on statistical distribution, Journal of Power Sources, 2021.
[35] Yonggang Liu, Xiao Wang, Liang Li, Lu Zhang, Guang Li, Zheng Chen*, Dynamic lane-changing trajectory planning for autonomous vehicles based on discrete global trajectory, IEEE Transactions on Intelligent Transportation Systems, May 2021.
[36] Yonggang Liu, Jun Xie, Datong Qin, Yuanjian Zhang, Zheng Chen*, Guang Li, Yi Zhang, Design, control and validation of two-speed clutch-less automatic transmission for electric vehicle, IEEE/ASME Transactions on Mechatronics, Jun. 2021.
[37] Yuanjian Zhang, Zheng Chen*, Guang Li, Yonggang Liu, Machine leaning based vehicle model construction and validation - towards optimal control strategy development for plug-in hybrid electric vehicles, IEEE Transactions on Transportation Electrification, Sep. 2021.
[38] Xing Shu, Jiangwei Shen, Guang Li, Yuanjian Zhang, Zheng Chen*, Yonggang Liu, A flexible state-of-health prediction scheme for lithium-ion battery packs with long short-term memory network and transfer learning, IEEE Transactions on Transportation Electrification, 2021.
[39] Yuanjian Zhang, Yanjun Huang, Zheng Chen*, Guang Li, Yonggang Liu, A novel learning based model predictive control strategy for plug-in hybrid electric vehicle, IEEE Transactions on Transportation Electrification, 2021.
[40] Yuanjian Zhang, Zheng Chen*, Guang Li, Yonggang Liu, Yanjun Huang, Geoffrey Cunningham, Juliana Early, Integrated velocity prediction method and application in vehicle-environment cooperative control based on internet of vehicles, IEEE Transactions on Vehicular Technology, Dec. 2021.
[41] 陈峥，李磊磊，舒星，刘永刚，申江卫，基于改进容量增量分析法的锂电池可用容量估计，中国公路学报，2022
[42] 申江卫，马文赛，沈世全，刘永刚，陈峥*，基于优化高斯过程回归的多特征提取锂离子电池容量预测，中国公路学报，2021
[43] 舒星;刘永刚;申江卫;陈峥*, 基于改进最小二乘支持向量机与Box-Cox变换的锂离子电池容量及剩余使用寿命预测,机械工程学报，2021
[44] 刘永刚，周子游，陈峥，舒星，秦大同，考虑混杂充电数据的锂离子电池特征提取优化及电池寿命预测，机械工程学报，2020
五、学术交流
近五年在国际/国内相关学术会议做报告20余次，主要会议报告如下：
1) Oral Presentation, Eco-Driving Control of Intelligent Connected Clean Energy Vehicles, 2nd Symposium for Young Scholars of Transportation and Vehicle Engineering, Suzhou, 2023
2) Oral Presentation, Eco-Driving Control of Multiple Heterogeneous Intelligent Connected Clean Energy Vehicles, 1st Symposium for Young Scholars of Transportation and Vehicle Engineering, Suzhou, 2023
3) Oral Presentation, Hierarchical Optimal Energy Management of Electric Vehicles (HOEMEV), The MSCA Green Deal Cluster, online, Jul. 2021.
4) Tutorial, Key Techniques for Eco-Driving Control of Intelligent Connected Electric Vehicles, the 34th World Electric Vehicle Symposium & Exhibition (EVS34) Nanjing, Jun. 2021,
5) Oral Presentation, Robust Cascaded Nonlinear Generalized Predictive Control with Sliding Mode Disturbance Observer for Permanent Magnet Synchronous Hub Motor, 2020 4th CAA International Conference on Vehicular Control and Intelligence, Hangzhou, 2020
6) Tutorial, Energy Management for Hybrid Electric Vehicles and Plug-in Hybrid Electric Vehicles, 2017 IEEE Vehicle Power and Propulsion Conference, Belfort, France, Dec. 2017
7) Oral Presentation, Charging Strategy Design of Lithium-ion Batteries for Energy Loss Minimization Based on Minimum Principle, 2017 IEEE International Transportation Electrification Conference & Expo Asia-Pacific, Harbin, China, Aug 2017
8) Oral Presentation, On-board State of Health Estimation for Lithium-ion Battery Based on Support Vector Machine, 2017 International Symposium on Electric Vehicles, Sweden, Jul 2017
9) Invited Talk, Research on Key Technology of battery management system for New Energy Vehicles”, Symposium of Yunnan New Energy Vehicles, Kunming, China, Dec 2016
10) Invited Talk, Research on Key Technology of battery management system for New Energy Vehicles, Annual Meeting of B&R Academic Union, Shanghai, China, Oct 2016
六、团队介绍
团队依托云南省新能源汽车生产力促进中心、云南省高校新能源汽车控制与运行安全创新团队等科研平台，面向复杂交通环境下的节能减排问题，在新能源汽车动力系统宽域高效运行机理与智能控制方面开展研究工作，具有良好的实验平台、研究环境以及学科交叉优势，助力学校交通运输工程学科建设和创新人才培养。团队现有教授、副教授10余人，在读博士、硕士研究生40余名，多人次获得国家及省政府奖学金、省优秀毕业硕士论文、省优秀毕业生及三好学生。近年来，团队引培“兴滇英才计划”青年拔尖人才3人。