代表论文：
[27] 邹国发，高祥，王春，考虑锂电池多时间尺度效应的参数辨识与SOC估计方法，电力系统保护与控制, 2023, Under Review.
[26] Chun Wang, Shuai Xia, Maosheng Tian and Tao Tang. A comparative study of energy management strategies for battery-ultracapacitor electric vehicles based on different deep reinforcement learning methods, Journal of Energy Storage, 2023, Under Review.（Top 期刊）
[25] Jie Jiang, Chun Wang*, Yongzhi Zhang and Quanqing Yu. Adaptive wavelet transform-based energy management strategy of hybrid energy storage system for electric vehicle considering driving style, Journal of Energy Storage, 2023, Under Review.（Top 期刊）
[24] Chun Wang, Qiang Li, Aihua Tang and Quanqing Yu. An equivalent state of charge estimation method of hybrid energy storage system for electric vehicles considering multiple operating modes, Journal of Energy Storage, 2023, Under Review.（Top 期刊）
[23] Chun Wang, Qiang Zhang, Aihua Tang and Wenna Xu. Modeling and State-of-Charge estimation of ultracapacitor based on H infinity filter considering variable temperature, Journal of Electrochemical Energy Conversion and Storage, 2024, 21(1): 011009.
[22] Chun Wang, Chao Shen, Aihua Tang and Pu Liu. A comparative study of parameter identification fusion methods with a high-precision supercapacitor model for electric vehicles, Journal of Electrochemical Energy Conversion and Storage, 2024, 21(2): 011013.
[21] Rui Liu, Chun Wang*, Aihua Tang, Yongzhi Zhang and Quanqing Yu. A twin delayed deep deterministic policy gradient-based energy management strategy for a battery-ultracapacitor electric vehicle considering driving condition recognition with learning vector quantization neural network, Journal of Energy Storage, 2023, 71, 108147.（Top 期刊）
[20] Hu, Y., Wang, C.*, Fu, L. (2023). Parameter Matching Optimization of All-Terrain Vehicle Battery System Considering Multi-objective Optimization. In: Sun, F., Yang, Q., Dahlquist, E., Xiong, R. (eds) The Proceedings of the 5th International Conference on Energy Storage and Intelligent Vehicles (ICEIV 2022). ICEIV 2022. Lecture Notes in Electrical Engineering, vol 1016. Springer, Singapore. https://doi.org/10.1007/978-981-99-1027-4_89.
[19] Jie Jiang, Chun Wang*, Qiang Zhang, Yongzhi Zhang and Quanqing Yu. Wavelet transform-based real-time energy management strategy of hybrid energy storage system for electric vehicle, International Journal of Circuit Theory and Applications, 2023;1‐22. doi:10.1002/cta.3822.
[18] Yongzhi Zhang, Chun Wang*, Quanqing Yu, and Ling Zheng. Battery aging-minimal speed control of autonomous heavy-duty electric trucks in adaptation to highway topography and traffic, Science China-Technological Sciences, 2023, 66, https://doi.org/10.1007/s11431-022-2427-4.
[17] Chun Wang, Fengchen Liu, Aihua Tang and Rui Liu. A dynamic programming-optimized two-layer adaptive energy management strategy for electric vehicles considering driving pattern recognition, Journal of Energy Storage, 2023, 70, 107924.（Top 期刊）
[16] Wenquan Ou, Chun Wang*, Aihua Tang, Bo Huang and Kang Liu. Multistate joint estimation of ultracapacitor based on trans-scale dual extended Kalman filter, Control Engineering Practice, 2023, 137:105555 .
[15] Chun Wang, Rui Liu, Aihua Tang, Zhigang Zhang and Pu Liu. A reinforcement learning-based energy management strategy for a battery-ultracapacitor electric vehicle considering temperature effects, International Journal of Circuit Theory and Applications, 2023;1‐21. doi:10.1002/cta.3656
[14] 王春，唐滔，张永志，考虑环境温度影响的超级电容SOC加权融合估计方法，汽车工程, 2023, 45,(4):627-636.
[13] Chun Wang, Qiang Li, Aihua Tang and Zhigang Zhang. A comparative study of state of charge estimation methods of ultracapacitors for electric vehicles considering temperature characteristics, Journal of Energy Storage, 2023, 63, 106908.（Top 期刊）
[12] Aihua Tang, Chun Wang*, Dongyang Zhang, Kaiqing Zhang, Yapeng Zhou and Zhigang Zhang. A multi-model real covariance-based battery state-of-charge fusion estimation method for electric vehicles using ordered weighted averaging operator. International Journal of Energy Research, 2022;1‐12.
[11] Chun Wang, Chaocheng Fang, Aihua Tang, Bo Huang and Zhigang Zhang. A novel ultracapacitor state-of-charge fusion estimation method for electric vehicles considering temperature uncertainty. Energies, 2022, 15(12), 4309.
[10] Chun Wang, Rui Liu and Aihua Tang. Energy management strategy of hybrid energy storage system for electric vehicles based on genetic algorithm optimization and temperature effect. Journal of Energy Storage, 2022, 51, 104314.（Top 期刊）
[9] 王春，李强.基于无迹卡尔曼滤波的超级电容SOC估计[J].电源技术,2021,45(12):1624-1627.
[8] 王春，陈俑志，马玉婷.基于端电压残差的超级电容融合建模方法研究[J].四川轻化工大学学报(自然科学版),2021,34(5):48-54.
[7] Fengchen. Liu, Chun Wang* and Yunrong Luo. Parameter matching method of a battery-supercapacitor hybrid energy storage system for electric vehicles. World Electric Vehicle Journal, 2021, 12, 253.
[6] Bo Huang, Yuting Ma, Chun Wang*, Yongzhi Chen and Quanqing Yu. A multi-model probability based two-layer fusion modeling approach of supercapacitor for electric vehicles. Energies, 2021, 14(15):4644.
[5] Chun Wang, Ruixin Yang and Quanqing Yu. Wavelet transform based energy management strategies for plug-in hybrid electric vehicles considering temperature uncertainty. Applied Energy, 2019, 256:113928.（Top 期刊）
[4] Chun Wang, Rui Xiong, Hongwen He, Yongzhi Zhang and Weixiang Shen. Comparison of decomposition levels for wavelet transform based energy management in a plug-in hybrid electric vehicle. Journal of Cleaner Production, 2019, 210:1085-1097.（Top 期刊）
[3] Chun Wang, Bo Huang and Wenna Xu. An integrated energy management strategy with parameter match method for plug-in hybrid electric vehicles[J]. IEEE Access, 2018, PP:1-1.
[2] Chun Wang, Hongwen He, Yongzhi Zhang and Hao Mu. A comparative study on the applicability of ultracapacitor models for electric vehicles under different temperatures. Applied Energy, 2017,196: 268-278.（Top 期刊）
[1] Chun Wang, Rui Xiong, Hongwen He, Xiaofeng Ding and Weixiang Shen. Efficiency analysis of a bidirectional DC/DC converter in a hybrid energy storage system for plug-in hybrid electric vehicles. Applied Energy, 2016,183:612-622.（Top 期刊）
发明专利：
[8]王春，沈超，一种高低阶容积卡尔曼滤波的超级电容荷电状态估计方法，申请号：202311052094.2,2023.08.21
[7]王春，唐滔，基于变温模型加权融合估计超级电容荷电状态的方法，申请号：202211233958.6,2022.10.10
[6]王春，欧文权，黄波，刘康，一种适用于超级电容的跨尺度多状态联合估计方法，申请号：202210914320.2,2022.08.01
[5]王春，李强，考虑复合电源系统多工作模式的等效荷电状态估计方法，申请号：20221085707.2,2022.07.20
[4]王春，刘睿，一种考虑温度影响的电动汽车能量管理策略优化方法，申请号：202111441711.9, 2021.11.30
[3]王春，马玉婷，一种超级电容贝叶斯概率融合建模方法，申请号：202110570824.2, 2021.5.25（已授权）
[2]王春，陈俑志，一种用于变温度环境的串联超级电容组荷电状态估计方法，申请号：202110571564.0, 2021.5.25（已授权）
[1]王春，李强，一种基于温度变化模型的超级电容荷电状态估计方法，申请号：202110573146.5, 2021.5.25（已授权）
