Host Project 1. National Natural Science Foundation of China, 51707084, Multi-degradation mechanism analysis and identification of the battery pack cycle-life with inter-cell connecting plate constraint for electric vehicles. 2. Natural Science Fund project in Jiangsu Province, BK20160529, Cycle life degradation mechanism and credible capacity estimation for in-parallel battery packs. 3. Cycle life degradation mechanism and Layered Screening Method of Power Battery Packs, 2018-XNYQC-004, Six Talent Peaks Project in Jiangsu Province. 4. Cycle life degradation affecting factors analysis and on-line estimation for in-parallel battery packs, 2016M591775, China Postdoctoral Science Foundation. 5. Youth Talent Cultivation Program of Jiangsu University. Paper 1. Limei Wang, Yong Cheng*, Ju Zou. Battery available power prediction of hybrid electric vehicle based on improved Dynamic Matrix Control algorithms. Journal of Power Sources, 2014, 261: 337-347. 2. Limei Wang, Yong Cheng*, Xiuliang Zhao. A LiFePO4 battery pack capacity estimation approach considering in-parallel cell safety in electric vehicles. Applied Energy, 2015, 142: 293-302. 3. Limei Wang, Yong Cheng*, Xiuliang Zhao. Influence of connecting plate resistanceupon LiFePO4 battery performance. Applied Energy, 2015, 147: 353-360. 4. Limei Wang*, Chaofeng Pan, Liang Liu, et al. On-board state of health estimation of LiFePO4 battery pack through differential voltage analysis. Applied Energy, 2016, 168:465-472. 5. Wang Limei*, Zhao Xiuliang, Liu Liang, et al. Battery pack topology structure on state-of-charge estimation accuracy in electric vehicles. Electrochimica Acta, 2016, 219: 711-720. 6. Limei Wang*, Xiuliang Zhao, Liang Liu, Chaofeng Pan. State of health estimation of battery modules via differential voltage analysis with local data symmetry method. Electrochimica Acta, 2017, 81-89. 7. Limei Wang, Dong Lu, Qiang Liu, Liang Liu, Xiuliang Zhao*. State of charge estimation for LiFePO4 battery via dual extended kalman filter and charging voltage curve. Electrochimica Acta, 2019, 296: 1009-1017. 8. Limei Wang, Junyan Niu, Wen Zhao, Guochun Li, Xiuliang Zhao*. Study on electrochemical and thermal characteristics of lithium‐ion battery using the electrochemical‐thermal coupled model. International Journal of Energy Research, 2019, 43(6): 2086-2107. 9. Xiuliang Zhao, Zequan Li, Zhipeng Li, LimeiWang*. Combustion parameters estimation based on multi-channel vibration acceleration signals. Applied Thermal Engineering, 2019, 158: 113835. Patent 1. Wang Limei, Zhao Xiuliang, Liu Liang, Pan Chaofeng, Li Guochun, Chen Long, Jiang Haobin. Matching and test system for battery pack and battery management system, 2019.11.05, China, 201710354689.1 2. Wang Limei, Chen Long, Jiang Haobin, Yuan Chaochun, et al. Battery open circuit voltage estimation based on binary code, 2018.08.10, China, 201510543674.0 3. Wang Limei, Chen Long, Jiang Haobin, Yuan Chaochun, et al. Battery pack state ofhealth estimation based on charging voltage curve, 2017.12.22, China, 201510542962.4. 4. Wang Limei, Chen Long, Jiang Haobin, Yuan Chaochun, et al. Battery cell balance method based on battery pack charging, 2017.12.05, China, 201510542877.8. 5. Cheng Yong, Wang Limei. Battery modeling method based on Simscape platform, 2016.06.22, China, 201310721879.4. 6. Cheng Yong, Wang Limei, Zou Ju. Battery power prediction based on dynamic matrix control algorithm, 2016.02.24, China, 201310721633.7. 7. Cheng Yong, Wang Limei, Wang Hongdong, et al. System and method for remote monitoring, upgrading and calibration of electric vehicles, 2016.01.20, China, 201310127244.1. 8. Cheng Yong, Wang Limei, Zhao Xiuliang. Battery management method based on battery safety protection, 2015.10.28, China, 201410192523.0. 9. Cheng Yong, Wang Limei, Wang Hongdong, et al. Battery management system based on coprocessor and solid state relay, 2015.03.04, China, 201310116527.6. |
