代表著作：
[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)
代表学术论文：
[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