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  • 王顺利

  • 2025年12月09日 18:46 　来源： 点击：[]

  • 王顺利

    王顺利，三级教授，博导，英国工程与技术学会会士（IET Fellow），IEEE高级会员，内蒙古工业大学电力学院学术院长，智慧储能研究院常务副院长，北京创新学会学术委员，可再生能源国家联合实验室储能技术中心副主任，内蒙古电力集团大青山实验室副总经理（挂职），国家电器安全质量检测中心学术带头人，天府青城科技人才，海外高层次留学人才，天府英才A类，中国科技城首批学术和技术带头人，院士专家工作站领衔专家，全球前2%顶尖科学家。主要从事新能源与储能系统、电力电子变换器及其控制、锂离子电池建模与状态估计、电能变换与智能储能技术等方向的教学与科研工作。

    一、教育及工作经历

    （一）教育

    2005/09—2009/06

    西南科技大学信息工程学院，自动化专业，工学学士

    2009/09—2012/06

    西南科技大学信息工程学院，检测技术与自动化装置专业，工学硕士

    2014/09—2018/06

    西南科技大学信息工程学院，控制科学与工程专业，工学博士

    2020/01—2021/01

    丹麦奥尔堡大学（Aalborg University），控制科学与工程专业，博士后

    （二）工作

    2023/10—至今

    内蒙古工业大学电力学院，学术院长、智慧储能研究院常务副院长

    2023/09—至今

    四川省电力储能系统运行控制技术工程研究中心，副主任

    2024/12—至今

    内蒙古电力集团大青山实验室，副总经理（挂职）

    2025/02—至今

    可再生能源国家联合实验室储能技术中心，副主任

    2021/01—至今

    四川省氢能源与多能互补微电网工程技术研究中心，常务副主任

    2021/01—至今

    国家电器安全质量检测中心，学术带头人

    2012/07—2014/12

    西南科技大学信息工程学院，助教

    2014/12—2019/12

    西南科技大学信息工程学院，讲师

    2018/06—2023/10

    中国科学技术大学信息科学技术学院，联合共建实验室负责人

    2019/12—2020/12

    西南科技大学信息工程学院，副教授

    2020/12—2023/10

    西南科技大学信息工程学院，教授

    2022/05—2023/10

    四川大学电气工程学院，联合共建新能源测控实验室常务副主任

    二、教学经验

    （一）本科教学

    主持开设新能源特色专业课程1门，积极开展《新能源技术与电源管理》和《工业数据通信与控制网络》等课程的教学工作。

    （二）研究生教学

    积极开展产教融合，构建复杂场景多时间尺度锂电池系统性能测试平台，指导学生参加四川省创新创业训练、大学生创新基金和实验室开放基金等科技创新项目29项，结合实验教学锻炼学生的动手实践能力，获得用人单位和同行专家的一致好评。

    三、科研与教研

    （一）基金项目

    1.主持，在研，国家重点研发计划项目，“高比例新能源接入的电网主动支撑型百兆瓦级混合储能技术”（2024YFB2408400），2025/01—2028/12。

    2.主持，在研，内蒙古自治区科技厅重点项目，“强低温适应性储能电站能量转储输一体化技术及协同优化机制研究”（2025ZD030），2025/01—2027/12。

    3.主持，已结题，国家自然科学基金面上项目，“强鲁棒性锂离子电池循环寿命预估研究”（62173281），2022/01—2025/12。

    4.主持，已结题，国家自然科学基金青年项目，“锂离子电池成组SOC精确估算的建模与优化”（61801407），2019/01—2021/12。

    5.联合主持，在研，国家自然科学基金面上项目，“基于多维等效建模的极端低温锂离子电池阻抗特性快速优化机制”（52377217），2024/01—2027/12。

    6.联合主持，在研，内蒙古自治区低碳能源领域科技创新重大示范工程揭榜挂帅项目，“高安全长寿命大容量混合固液储能电池及系统技术”（2024JBGS0010），2024/07—2027/06。

    7.主持，已结题，四川省科技厅重点研发项目，“民用大中型无人机锂离子电池高可靠性管理系统”（19ZDYF1098），2019/01—2020/12。

    8.主持，已结题，四川省科技厅重点研发项目，“新能源汽车用锂离子电池组在线安全监测研究”（2018GZ0390），2018/01—2019/12。

    9.联合主持，已结题，四川省科技厅重点研发项目，“新能源汽车用锂离子电池组核心检测技术设备及标准研究”（2017FZ0013），2017/01—2018/12。

    10.主持，已结题，四川省科技厅科技创新人才项目，“工业物联网高性能组网优化与智能处理加速技术研究”（2019JDTD0019），2019/01—2020/12。

    11.主持，已结题，四川省科技支撑项目，“高容量锂离子电池组管理系统关键技术研究”（2014GZ0078），2014/01—2016/05。

    12.主持，已结题，四川省科技厅重点研发项目，“全寿命周期储能电池安全管理技术研究”（23ZDYF0734），2023/01—2025/12。

    （二）横向项目

    1.主持，在研，合作单位“四川钜能储能技术有限公司”，“强低温适应性储能系统与3S核心技术研发”（24zh0552），2024/07—2029/06。

    2.主持，在研，合作单位“四川帝威能源技术有限公司”，“新能源客车储能电源系统核心技术研发与示范应用”（24zh0176），2024/03—2029/03。

    3.主持，在研，合作单位“四川力王新能源科技有限公司”，“高安全性固态电池研发与量产核心技术”（24zh0085），2024/01—2028/12。

    4.主持，在研，合作单位“内蒙古电力集团大青山实验室”，“水系电池储能系统研发”（2025DQS007），2025/01—2027/12。

    5.主持，在研，合作单位“内蒙古电力集团”，“面向沙戈荒重载铁路供电的新能源电力系统构建技术研究及示范”（2025DQS023），2025/07—2028/06。

    6.主持，已完成，合作单位“纽安捷能源技术（南京）有限公司”，“高寒环境强适应性锂电储能核心技术研发”（21zh0137），2021/04—2023/12。

    7.主持，已完成，合作单位“昆腾微电子股份有限公司”，“全寿命周期锂电池高倍率充电老化特性建模关键技术研发”（22zh0028），2021/12—2023/12。

    8.主持，已完成，合作单位“四川长虹电源有限责任公司”，“LDHS-2锂离子电池组维护设备研制”（17zh0156），2017/08—2019/08。

    9.主持，已完成，合作单位“四川长虹电源有限责任公司”，“BMTS-4锂离子电池检测维护设备技术升级”（15zh0132），2015/06—2017/06。

    10.主持，已完成，合作单位“四川长虹电源有限责任公司”，“BMTS-4锂离子电池组检测维护设备应用软件开发”（14zh0151），2014/06—2016/12。

    （三）教改项目

    1.主持，已结题，教育部产学合作协同育人项目，“锂离子电池管理系统在线监测与状态估计教学改革与实验平台建设”，2020/01—2021/12。

    2.主持，已结题，四川省高校教育教学改革项目，“新能源专业复合型人才培养模式改革与实践研究”，2021/01—2023/12。

    3.主持，已结题，四川省高校创新创业教育改革项目，“基于多能融合的储能系统课程群建设与案例教学研究”，2020/10—2022/10。

    （四）其他项目

    1.主持，在研，内蒙古自治区高等学校创新团队项目，“新能源发电与储能技术创新团队”，2024/01—2026/12。

    2.主持，在研，内蒙古能源战略研究中心资助项目，“强低温适应性清洁能源并网消纳智慧储能方案研究”（24NYZL07），2024/06—2024/12。

    3.主持，已完成，绵阳市委组织部科技城“涌泉计划”人才项目，“高可靠性锂电池管理系统和安全监测关键技术研究”（2021YQ03W），2021/12—2022/12。

    4.主持，在研，四川省委人才工作领导小组“天府青城计划青年科技人才项目”（川青城第1683号），2023/12—2026/12。

    四、论著

    （一）出版著作

    1.        Shunli Wang, Yanxin Xie, Guangchen Liu, Qi Huang, Yujie Wang, Carlos Fernandez et al. Smart Safety Management of Energy Storage Batteries, Elsevier, 2025. (ISBN: 978-0-443-27578-4)

    2.   王顺利、黄琦、程亮玮、刘广忱、魏中宝等，深度智慧学习与电力储能安全监测，科学出版社, 2025. （ISBN，国内一级出版社，入选科学出版社重大项目/人工智能与新型电力系统丛书）

    3.   王顺利、刘广忱、周磊、苏建强等，新型电力储能状态监测，中国电力出版社, 2025. （ISBN，国内一级出版社，入选电力行业“十四五”规划教材）

    4.        Shunli Wang, Yujie Wang, Xiao Yang, Carlos Fernandez, Josep M. Guerrero et al. Fuzzy Filter-Based State of Energy Estimation for Lithium-ion Batteries, Cambridge Scholars Publishing, 2024. (ISBN: 978-1-5275-7066-5)

    5.   王顺利、黄琦、刘冬雷、陈宗海等，锂电池储能科学与技术, 机械工业出版社, 2024. （ISBN: 978-7-111-75512-8，国内一级出版社，入选“十四五”时期国家重点出版物出版专项规划项目）

    6.   王顺利、刘广忱、张勤、魏中宝等，储能电池系统核心状态参量估算策略,科学出版社, 2024. （ISBN: 978-7-03-081855-3，国内一级出版社）

    7.        Shunli Wang, Fan Wu, Jialu Qiao, Carlos Fernandez, Josep M Guerrero et al. Modeling and State Estimation of Automotive Lithium-Ion Batteries, CRC Press, 2025. (ISBN：978-1-032-77791-7)

    8.        Shunli Wang, Yujie Wang, Dan Deng, Carlos Fernandez, Josep M. Guerrero et al. Intelligent lithium-ion battery SOC estimation Methods, Cambridge Scholars Publishing, 2023. (ISBN: 978-1-5275-5308-8)

    9.        Shunli Wang, Yanxin Xie, Guangchen Liu, Yujie Wang, Dan Deng, Carlos Fernandez, Gexiang Zhang et al. Smart Safety Management of Energy Storage Batteries, Cambridge Scholars Publishing, 2024. (ISBN)

    （二）代表性期刊论文（近三年）

    [1]     Shunli Wang*, Haiying Gao, Paul Takyi-Aninakwa, Josep M. Guerrero, Carlos Fernandez, Qi Huang. Improved multiple feature-electrochemical thermal circuitry modeling of lithium-ion batteries at low-temperature with real-time coefficient correction. Protection and Control of Modern Power Systems 2024; 9(3): 157-173. (SCI-1[IF: 11]; Top; EI)

    [2]     Shunli Wang*, Yingyang Wu, Heng Zhou, Qin Zhang, Carlos Fernandez, Frede Blaabjerg. Improved particle swarm optimization-adaptive dual extended Kalman filtering for accurate battery state of charge and state of energy joint estimation with efficient core factor feedback correction. Energy 2025; 322: 1-22. (SCI-1[IF: 8.857]; Top; EI)

    [3]     Shunli Wang*, Chao Ma, Haiying Gao, Dan Deng, Carlos Fernandez, Frede Blaabjerg. Improved hyperparameter Bayesian optimization-bidirectional long short-term memory optimization for high-precision battery state of charge estimation. Energy 2025; 325: 1-28. (SCI-1[IF: 8.857]; Top; EI)

    [4]     Shunli Wang*, Chao Wang, Paul Takyi-Aninakwa, Siyu Jin, Carlos Fernandez. An improved parameter identification and radial basis correction-differential support vector machine strategies for state-of-charge estimation of urban-transportation-electric-vehicle lithium-ion batteries. Journal of Energy Storage 2024; 80: 1-17. (SCI [IF: 8.90]; Top; EI)

    [5]     Shunli Wang*, Shaojie Zhang, Sufang Wen, Carlos Fernandez. An accurate state-of-charge estimation of lithium-ion batteries based on improved particle swarm optimization -adaptive square root cubature Kalman filter. Journal of Power Sources 2024; 613: 1-12. (SCI-1[IF: 9.794]; Top; ESI; EI)

    [6]     Shunli Wang*, QuanDang, ZhengqingGao, BowenLi, CarlosFernandez, FredeBlaabjerg. An innovative square root - untraced Kalman filtering strategy with full-parameter online identification for state of power evaluation of lithium-ion batteries. Journal of Energy Storage 2024; 82: 1-15. (SCI-2 [IF: 8.90]; Top; EI)

    [7]     Shunli Wang*, Bohan Hu, Lei Zhou, Yuyang Liu, CarlosFernandez, FredeBlaabjerg. Improved volumetric noise-adaptive H-infinity filtering for accurate state of power estimation of lithium-ion batteries with multi-parameter constraint considering low-temperature influence. Journal of Energy Storage 2025; 115: 1-16. (SCI-2 [IF: 8.90]; Top; EI)

    [8]     Shunli Wang*, Tao Luo, Nan Hai, FredeBlaabjerg, CarlosFernandez. Joint state of charge and state of energy estimation of special aircraft lithium-ion batteries by optimized genetic marginalization-extended particle filtering. Journal of Energy Storage 2025; 115: 1-10. (SCI-2 [IF: 8.90]; Top; EI)

    [9]     Lei Chen, Shunli Wang*, Hong Jiang, Carlos Fernandez. A multi-time-scale framework for state of energy and maximum available energy of lithium-ion battery under a wide operating temperature range. Applied Energy 2024. (SCI-1[IF: 11.446]; Top; ESI; EI)

    [10] Paul Takyi-Aninakwa, Shunli Wang*, Guangchen Liu, Carlos Fernandez, Wenbin Kang, Yingze Song, Qi Huang. Deep learning framework designed for high-performance lithium-ion batteries state monitoring. Renewable and Sustainable Energy Reviews 2025. (SCI-1[IF: 15.500]; Top; ESI; EI)

    [11] Paul Takyi-Aninakwa, Shunli Wang*, Guangchen Liu, Alhamdu Nuhu Bage, Etse Dablu Bobobee, Emmanuel Appiah, Qi Huang. Enhanced extended-input LSTM with an adaptive singular value decomposition UKF for LIB SOC estimation using full-cycle current rate and temperature data. Applied Energy 2024. (SCI-1[IF: 11.446]; Top; ESI; EI)

    [12] Donglei Liu, Shunli Wang*, Yongcun Fan, Carlos Fernandez, Frede Blaabjerg. An optimized multi-segment long short-term memory network strategy for power lithium-ion battery state of charge estimation adaptive wide temperatures. Energy 2024; 304: 1-15. (SCI-1[IF: 8.857]; Top; EI)

    [13] Jiawei Zeng, Shunli Wang*, Wen Cao, Yifei Zhou, Carlos Fernandez, Josep M. Guerrero. Battery asynchronous fractional-order thermoelectric coupling modeling and state of charge estimation based on frequency characteristic separation at low temperatures. Energy 2024; 132730: 1-26. (SCI-1[IF: 8.857]; Top; EI)

    [14] Yifen Zhou, Shunli Wang*, Renjun Feng, Yanxin Xie, Carlos Fernandez. Multi-Temperature Capable Enhanced Bidirectional Bidirectional Long Short Term Memory-Multilayer Perceptron Hybrid Model for Lithium-ion Battery SOC Estimation. Energy 2024; 133596: 1-40. (SCI-1[IF: 8.857]; Top; EI)

    [15] Daijiang Mo, Shunli Wang*, Yongcun Fan, Paul Takyi-Aninakwa, Mengyun Zhang, Yangtao Wang, Carlos Fernandez. Enhanced multi-constraint dung beetle optimization-kernel extreme learning machine for lithium-ion battery state of health estimation with adaptive enhancement ability. Energy 2024; 132723: 1-28. (SCI-1[IF: 8.857]; Top; EI)

    [16] Yifei Zhou, Shunli Wang*, Yanxin Xie, Jiawei Zeng, Carlos Fernandez. Remaining useful life Prediction and State of health Diagnosis of Lithium-ion Batteries with Multiscale Health Features Based on Optimized CatBoost Algorithm. Energy 2024; 131575: 1-14. (SCI-1[IF: 8.857]; Top; EI)

    [17] Tao Zhu, Shunli Wang*, Yongcun Fan, Nan Hai, Qi Huang, Carlos Fernandez. An improved dung beetle optimizer- hybrid kernel least square support vector regression algorithm for state of health estimation of lithium-ion batteries based on variational model decomposition. Energy 2024; 306: 1-11. (SCI-1[IF: 8.857]; Top; EI)

    [18] Chenyu Zhu, Shunli Wang*, Chunmei Yu, Nan Hai, Carlos Fernandez, Josep M. Guerrero. An improved limited memory-Sage Husa-cubature Kalman filtering algorithm for the state of charge and state of energy co-estimation of lithium-ion batteries based on hysteresis effect-dual polarization model. Energy 2024; 306: 1-17. (SCI-1[IF: 8.857]; Top; EI)

    [19] Syed Abbas Ali Shah, Shunli Wang, Sajawal Gul Niazi, Syed Maooz Ali Shah, Shungang Ning, Muhamamd Hassaan Farooq Butt. A hybrid deep learning framework integrating bidirectional sliding windows, TCN, and external attention for accurate state-of-charge estimation in lithium-ion batteries. Journal of Power Sources 2024; 622: 1-13. (SCI-1[IF: 9.794]; Top; ESI; EI)

    [20] Chao Wang, Shunli Wang, Gexiang Zhang, Lei Chen, Haotian Shi, Runxi Lin, Carlos Fernandez. Improved adaptive fusion parameter identification and chaotic gravitational search-Kalman particle filtering method for state-of-energy accurate estimation of lithium-ion batteries. Journal of Power Sources 2025; 650: 1-24. (SCI-1[IF: 9.794]; Top; ESI; EI)

    [21] Yuanru Zou, Shunli Wang, Wen Cao, Nan Hai, Carlos Fernandez. Enhanced transformer encoder long short-term memory hybrid neural network for multiple temperature state of charge estimation of lithium-ion batteries. Journal of Power Sources 2024; 635: 1-10. (SCI-1[IF: 9.794]; Top; ESI; EI)

    [22] Donglei Liu, Shunli Wang*, Xiaoxia Li, Yongcun Fan, Carlos Fernandez, Frede Blaabjerg. A Novel Extended Kalman Filter-Guided Long Short-Term Memory Algorithm for Power Lithium-ion Battery State of Charge Estimation at Multiple Temperatures. Energy 2025; 298: 1-22. (SCI-1[IF: 8.857]; Top; EI)

    [23] Ran Xiong, Shunli Wang*, Qi Huang, Chunmei Yu, Wei Xiao, Jun Jia, Josep M. Guerrero. Improved cooperative competitive particle swarm optimization and nonlinear coefficient temperature decreasing simulated annealing-back propagation methods for state of health estimation of energy storage batteries. Energy 2024; 292: 1-13. (SCI-1[IF: 8.857]; Top; EI)

    [24] Yanxin Xie, Shunli Wang*, Gexiang Zhang, Paul Takyi-Aninakwa, Carlos Fernandez, Frede Blaabjerg. A review of data-driven whole-life state of health prediction for lithium-ion batteries: Data preprocessing, aging characteristics, algorithms, and future challenges. Journal of Energy Chemistry 2024; 97: 630-649. (SCI-1[IF: 13.599]; Top; ESI; EI)

    [25] Paul Takyi-Aninakwa, Shunli Wang*, Guangchen Liu, Alhamdu Nuhu Bage, Faisal Masahudu, Josep M. Guerrero. An enhanced lithium-ion battery state-of-charge estimation method using long short-term memory with an adaptive state update filter incorporating battery parameters. Engineering Applications of Artificial Intelligence 2024; 132: 1-19. (SCI-1[IF: 9.60]; Top; ESI; EI)

    [26] Juqiang Feng, Feng Cai, Yang Zhao, Xing Zhang, Xinju Zhan, Shunli Wang. A novel feature optimization and ensemble learning method for state-of-health prediction of mining lithium-ion batteries. Energy 2024; 299: 1-12. (SCI-1[IF: 8.857]; Top; EI)

    [27] Yuan Chen, Wenxian Duan, Xiaohe Huang, Shunli Wang. Multi-output fusion SOC and SOE estimation algorithm based on deep network migration. Energy 2024; 308: 1-16. (SCI-1[IF: 8.857]; Top; EI)

    [28] Shunli Wang*, Fan Wu, Paul Takyi-Aninakwa, Chunmei Yu, Carlos Fernandez, Daniel-Ioan Stroe, Qi Huang. Improved singular filtering-Gaussian process regression-long short-term memory model for whole-life-cycle remaining capacity estimation of lithium-ion batteries adaptive to fast aging and multi-current variations. Energy 2023; 12: 1-16. (SCI-1[IF: 8.857]; Top; EI)

    [29] Shunli Wang*, Paul Takyi-Aninakwa, Siyu Jin, Ke Liu, Carlos Fernandez. An improved sliding window - long short-term memory modeling method for real-world capacity estimation of lithium-ion batteries considering strong random charging characteristics. Journal of Energy Storage 2023; 70: 1-15. (SCI [IF: 8.90]; Top; EI)

    [30] Yanxin Xie, Shunli Wang*, Gexiang Zhang, Yongcun Fan, Frede Blaabjerg. Optimized multi-hidden layer long short-term memory modeling and suboptimal fading extended Kalman filtering strategies for the synthetic state of charge estimation of lithium-ion batteries. Applied Energy 2023. (SCI-1[IF: 11.446]; Top; ESI; EI)

    [31] Haotian Shi, Shunli Wang*, Carlos Fernandez, Chunmei Yu, Dablu Bobobee Etse, Liping Wang. Improved electric-thermal-aging multi-physics domain coupling modeling and identification decoupling of complex kinetic processes based on timescale quantification in lithium-ion batteries. Applied Energy 2023. (SCI-1[IF: 11.446]; Top; ESI; EI)

    [32] Ran Xiong, Shunli Wang*, Paul Takyi-Aninakwa, Siyu Jin, Carlos Fernandez, Qi Huang. Critical review on improved electrochemical impedance spectroscopy - cuckoo search - Elman neural network modeling methods for whole-life-cycle health state estimation of lithium-ion battery energy storage systems. Protection and Control of Modern Power Systems 2023; 244: 1-23. (SCI-1[IF: 11]; Top; EI)

    [33] Haotian Shi, Shunli Wang*, Carlos Fernandez, Chunmei Yu, Wenhua Xu, Dablu Bobobee Etse, Liping Wang. Multi-time scale identification of key kinetic processes for lithium-ion batteries considering variable characteristic frequency. Journal of Energy Chemistry 2023. (SCI-1[IF: 13.599]; Top; ESI; EI)

    [34] Paul Takyi Aninakwa, Shunli Wang*, Hongying Zhang, Xiao Yang, Carlos Fernandez. A hybrid probabilistic correction model for the state of charge estimation of lithium-ion batteries considering dynamic currents and temperatures. Energy 2023; 273: 1-15. (SCI-1[IF: 8.857]; Top; EI)

    [35] Yifei Zhou,Shunli Wang*, Yanxin Xie, Xianfeng Shen, Carlos Fernandez. Remaining useful life prediction and state of health diagnosis for lithium-ion batteries based on improved grey wolf optimization algorithm-deep extreme learning machine algorithm. Energy 2023; 285: 1-17. (SCI-1[IF: 8.857]; Top; EI)

    [36] Junjie Tao, Shunli Wang*, Wen Cao, Carlos Fernandez, Frede Blaabjerg, Liangwei Cheng. An innovative multitask learning - Long short-term memory neural network for the online anti-aging state of charge estimation of lithium-ion batteries adaptive to varying temperature and current conditions. Energy 2025; 314: 1-13. (SCI-1[IF: 8.857]; Top; EI)

    [37] Yuanru Zou, Shunli Wang*, Nan Hai, Frede Blaabjerg, Carlos Fernandez, Wen Cao. Enhanced quantile regression long short-term memory hybrid neural network for the state of charge point and interval estimation of lithium-ion batteries. Energy 2025; 332: 1-13. (SCI-1[IF: 8.857]; Top; EI)

    [38] Yang Li,Shunli Wang*, Lei Chen, Chuangshi Qi, Carlos Fernandez. Multiple layer kernel extreme learning machine modeling and eugenics genetic sparrow search algorithm for the state of health estimation of lithium-ion batteries. Energy 2023; 282: 1-17. (SCI-1[IF: 8.857]; Top; EI)

    [39] Jialu Qiao, Shunli Wang*, Chunmei Yu, Xiao Yang, Carlos Fernandez. A chaotic firefly - Particle filtering method of dynamic migration modeling for the state-of-charge and state-of-health co-estimation of a lithium-ion battery performance. Energy 2023; 263: 1-17. (SCI-1[IF: 8.857]; Top; EI)

    [40] Yixing Zhang, Fei Feng, Shunli Wang, Jinhao Meng, Jiale Xie, Rui Ling, Hongpeng Yin, Ke Zhang, Yi Chai. Joint nonlinear-drift-driven Wiener process-Markov chain degradation switching model for adaptive online predicting lithium-ion battery remaining useful life. Applied Energy 2023; 341: 1-21. (SCI-1[IF: 11.446]; Top; ESI; EI)

    [41] Yanxin Xie, Shunli Wang*, Gexiang Zhang, Paul Takyi-Aninakwa, Carlos Fernandez, Frede Blaabjerg. A review of the data-driven whole-life state of health prediction for lithium-ion batteries: Data preprocessing, aging characteristics, algorithms, and future challenges. Journal of Energy Chemistry, 2024, 97 (10): 630-649. (SCI-1[IF: 13.599]; Top; ESI; EI)

    [42] Jiani Zhou, Shunli Wang*, Wen Cao, Yanxin Xie, Carlos Fernandez. State of health prediction of lithium-ion batteries based on SSA optimized hybrid neural network model. Electrochimica Acta, 2024, 487: 1-15. (SCI-2[IF: 5.600]; Top; ESI; EI)

    [43] Tao Long, Shunli Wang*, Wen Cao, Heng Zhou, Carlos Fernandez. An improved variable forgetting factor recursive least square-double extend Kalman filtering based on global mean particle swarm optimization algorithm for collaborative state of energy and state of health estimation of lithium-ion batteries. Electrochimica Acta, 2023, 450: 1-15. (SCI-2[IF: 5.600]; Top; ESI; EI)

    [44] Yanxin Xie, Shunli Wang*, Gexiang Zhang, Paul Takyi Aninakwa, Carlos Fernandez, Frede Blaabjerg. A review of data-driven whole-life state of health prediction for lithium-ion batteries: Data preprocessing, aging characteristics, algorithms, and future challenges. Journal of Energy Chemistry, 2024, 97 630-649. (SCI-1[IF: 13.599]; Top; ESI; EI)

    [45] Shunli Wang*, Takyi-Aninakwa Paul, Jin Siyu, Yu Chunmei, Fernandez Carlos, Stroe Daniel-Ioan. An improved feedforward-long short-term memory modeling method for the whole-life-cycle state of charge prediction of lithium-ion batteries considering current-voltage-temperature variation. Energy, 2022, 254 (PA): (SCI-1[IF: 8.857]; Top; EI)

    [46] Yifei Zhou, Shunli Wang*, Yanxing Xie, Jiawei Zeng, Carlos Fernandez. Remaining useful life prediction and state of health diagnosis of lithium-ion batteries with multiscale health features based on optimized CatBoost algorithm. Energy, 2024, 300 131575-. (SCI-1[IF: 8.857]; Top; EI)

    [47] Qiao Jialu, Shunli Wang*, Yu Chunmei, Yang Xiao, Fernandez Carlos. A chaotic firefly - Particle filtering method of dynamic migration modeling for the state-of-charge and state-of-health co-estimation of a lithium-ion battery performance. Energy, 2023, 263 (PE): (SCI-1[IF: 8.857]; Top; EI)

    [48] Takyi-Aninakwa Paul, Shunli Wang*, Zhang Hongying, Yang Xiao, Fernandez Carlos. A hybrid probabilistic correction model for the state of charge estimation of lithium-ion batteries considering dynamic currents and temperatures. Energy, 2023, 273. (SCI-1[IF: 8.857]; Top; EI)

    [49] Takyi-Aninakwa Paul, Shunli Wang*, Zhang Hongying, Xiao Yang, Fernandez Carlos. A NARX network optimized with an adaptive weighted square-root cubature Kalman filter for the dynamic state of charge estimation of lithium-ion batteries. Journal of Energy Storage, 2023, 68;1-11. (SCI [IF: 8.90]; Top; EI)

    [50] Nan Hai, Shunli Wang*, Donglei Liu, Carlos Fernandez, Josep M. Guerrero. A novel genetic weight-directed feed forward backpropagation neural network for state of charge estimation of lithium-ion batteries. Journal of Energy Storage, 2025, 88;1-12. (SCI [IF: 8.90]; Top; EI)

    [51] Yifei Zhou, Shunli Wang*, Zhehao Li, Renjun Feng, Carlos Fernandez. Battery pack capacity estimation based on improved cooperative co-evolutionary strategy and LightGBM hybrid models using indirect health features. Journal of Energy Storage, 2024, 114;1-17. (SCI [IF: 8.90]; Top; EI)

    [52] Wang Chao, Shunli Wang*, Zhou Jinzhi, Qiao Jialu, Yang Xiao, Xie Yanxin. A novel back propagation neural network-dual extended Kalman filter method for state-of-charge and state-of-health co-estimation of lithium-ion batteries based on limited memory least square algorithm. Journal of Energy Storage, 2023, 59. (SCI [IF: 8.90]; Top; EI)

    [53] Wenjie Wu, Shunli Wang*, ongcun Fan, Donglei Liu, Gang Long, Carlos Fernandez. A hybrid squeeze excitation gate recurrent unit-autoregressive integrated moving average model for long-term state of health estimation of lithium-ion batteries with adaptive enhancement ability. Journal of Energy Storage, 2025, 131; 1-12. (SCI [IF: 8.90]; Top; EI)

    [54] Chen Lei, Shunli Wang*, Lu Chen, Carlos Fernandez, Frede Blaabjerg. A multi-timescale estimator for state of energy and maximum available energy of lithium-ion batteries based on variable order online identification. Journal of Energy Storage, 2025, 110; 1-11. (SCI [IF: 8.90]; Top; EI)

    [55] Nan Hai, Shunli Wang*, Wen Cao, Frede Blaabjerg, Carlos Fernandez. Online state of charge estimation for lithium-ion batteries using improved fuzzy C-means sparrow backpropagation algorithm. Journal of Energy Storage, 2025, 119; 1-12. (SCI [IF: 8.90]; Top; EI)

    [56] Xueyi Hao, Shunli Wang*, Yongcun Fan, Donglei Liu, Yawen Liang, Mengyun Zhang, Carlos Fernandez. A novel least squares support vector machine-particle filter algorithm to estimate the state of energy of lithium-ion battery under a wide temperature range. Journal of Energy Storage, 2024, 89; 1-15. (SCI [IF: 8.90]; Top; EI)

    [57] Chen Lei, Shunli Wang*, Jiang Hong, Fernandez Carlos. A novel combined estimation method for state of energy and predicted maximum available energy based on fractional-order modeling. Journal of Energy Storage, 2023, 62. (SCI [IF: 8.90]; Top; EI)

    [58] Jia Xianyi, Shunli Wang*, Cao Wen, Qiao Jialu, Yang Xiao, Li Yang, Fernandez Carlos. A novel genetic marginalized particle filter method for state of charge and state of energy estimation adaptive to multi-temperature conditions of lithium-ion batteries. Journal of Energy Storage, 2023, 74 (PA): (SCI [IF: 8.90]; Top; EI)

    [59] Long Tao, Shunli Wang*, Cao Wen, Zhou Heng, Fernandez Carlos, Wang Yangtao. A novel M-1 structured Bidirectional Long Short Term Memory-Rauch Tung Striebel Smoothing algorithm for the joint estimation State of Charge and multi-constrained sustained peak power of lithium-ion batteries. Journal of Energy Storage, 2023, 67. (SCI [IF: 8.90]; Top; EI)

    [60] Donglei Liu, Shunli Wang*, Yongcun Fan, Carlos Fernandez, Frede Blaabjerg. A novel multi-factor fuzzy membership function - adaptive extended Kalman filter algorithm for the state of charge and energy joint estimation of electric-vehicle lithium-ion batteries. Journal of Energy Storage, 2024, 86; 1-11. (SCI [IF: 8.90]; Top; EI)

    [61] Xiong Ran, Shunli Wang*, Yu Chunmei, Fernandez Carlos, Xiao Wei, Jia Jun. A novel nonlinear decreasing step-bacterial foraging optimization algorithm and simulated annealing-back propagation model for long-term battery state of health estimation. Journal of Energy Storage, 2023, 59. (SCI [IF: 8.90]; Top; EI)

    [62] Takyi-Aninakwa Paul, Shunli Wang*, Zhang Hongying, Li Huan, Yang Xiao, Fernandez Carlos. An ASTSEKF optimizer with nonlinear condition adaptability for accurate SOC estimation of lithium-ion batteries. Journal of Energy Storage, 2023, 70. (SCI [IF: 8.90]; Top; EI)

    [63] Liang Yawen, Shunli Wang*, Fan Yongcun, Takyi-Aninakwa Paul, Xie Yanxin, Fernandez Carlos. An error covariance correction-adaptive extended Kalman filter based on piecewise forgetting factor recursive least squares method for the state-of-charge estimation of lithium-ion batteries. Journal of Energy Storage, 2023, 68. (SCI [IF: 8.90]; Top; EI)

    [64] Jiawei Peng, Paul Takyi-Aninakwa, Shunli Wang, Faisal Masahudu, Xiaoyong Yang, Josep M. Guerrero. A hybrid-aided approach with adaptive state update for estimating the state-of-charge of LiFePO4 batteries considering temperature uncertainties. Journal of Energy Storage, 2024, 76. (SCI [IF: 8.90]; Top; EI)

    [65] Hao Xueyi, Shunli Wang*, Fan Yongcun, Xie Yanxin, Fernandez Carlos. An improved forgetting factor recursive least square and unscented particle filtering algorithm for accurate lithium-ion battery state of charge estimation. Journal of Energy Storage, 2023, 59. (SCI [IF: 8.90]; Top; EI)

    [66] Hai Nan, Shunli Wang*, Liu Donglei, Gao Haiying, Fernandez Carlos. An improved random drift particle swarm optimization-feed forward backpropagation neural network for high-precision state-of-charge estimation of lithium-ion batteries. Journal of Energy Storage, 2023, 73 (PD): (SCI [IF: 8.90]; Top; EI)

    [67] Liu Shengyong, Deng Dan, Shunli Wang*, Luo Wenguang, Takyi-Aninakwa Paul, Qiao Jialu, Li Shuai, Jin Siyu, Hu Cong. Dynamic adaptive square-root unscented Kalman filter and rectangular window recursive least square method for the accurate state of charge estimation of lithium-ion batteries. Journal of Energy Storage, 2023, 67. (SCI [IF: 8.90]; Top; EI)

    [68] Takyi-Aninakwa Paul, Shunli Wang*, Zhang Hongying, Xiao Yang, Fernandez Carlos. Enhanced multi-state estimation methods for lithium-ion batteries considering temperature uncertainties. Journal of Energy Storage, 2023, 66. (SCI [IF: 8.90]; Top; EI)

    [69] Xie Yanxin, Shunli Wang*, Zhang Gexiang, Fan Yongcun, Fernandez Carlos, Guerrero Josep M.. Improved lumped electrical characteristic modeling and adaptive forgetting factor recursive least squares-linearized particle swarm optimization full-parameter identification strategy for lithium-ion batteries considering the hysteresis component effect. Journal of Energy Storage, 2023, 67. (SCI [IF: 8.90]; Top; EI)

    [70] Yang Xiaoyong, Shunli Wang*, Takyi-Aninakwa Paul, Yang Xiao, Fernandez Carlos. Improved noise bias compensation-equivalent circuit modeling strategy for battery state of charge estimation adaptive to strong electromagnetic interference. Journal of Energy Storage, 2023, 73: 1-10. (SCI [IF: 8.90]; Top; EI)

    [71] Jin Li, Shunli Wang*, Lei Chen, Yangtao Wang, Heng Zhou, Josep M. Guerrero. Adaptive Kalman filter and self-designed early stopping strategy optimized convolutional neural network for state of energy estimation of lithium-ion battery in complex temperature environment. Journal of Energy Storage, 2024, 83: 1-12. (SCI [IF: 8.90]; Top; EI)

    [72] Chenyu Zhu, Shunli Wang*, Chunmei Yu, Heng Zhou, Carlos Fernandez, Josep M. Guerrero. An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles. Journal of Energy Storage, 2024, 88: 1-13. (SCI [IF: 8.90]; Top; EI)

    [73] Shunli Wang*, Wu Fan, Takyi-Aninakwa Paul, Fernandez Carlos, Stroe Daniel-Ioan, Huang Qi. Improved singular filtering-Gaussian process regression-long short-term memory model for whole-life-cycle remaining capacity estimation of lithium-ion batteries adaptive to fast aging and multi-current variations. Energy, 2023, 284. (SCI-1[IF: 8.857]; Top; EI)

    [74] Zhang Yixing, Feng Fei, Shunli Wang*, Meng Jinhao, Xie Jiale, Ling Rui, Yin Hongpeng, Zhang Ke, Chai Yi. Joint nonlinear-drift-driven Wiener process-Markov chain degradation switching model for adaptive online predicting lithium-ion battery remaining useful life. Applied Energy, 2023, 341. (SCI-1[IF: 11.446]; Top; ESI; EI)

    [75] Li Yang, Shunli Wang*, Chen Lei, Qi Chuangshi, Fernandez Carlos. Multiple layer kernel extreme learning machine modeling and eugenics genetic sparrow search algorithm for the state of health estimation of lithium-ion batteries. Energy, 2023, 282. (SCI-1[IF: 8.857]; Top; EI)

    [76] Xie Yanxin, Shunli Wang*, Zhang Gexiang, Fan Yongcun, Fernandez Carlos, Blaabjerg Frede. Optimized multi-hidden layer long short-term memory modeling and suboptimal fading extended Kalman filtering strategies for the synthetic state of charge estimation of lithium-ion batteries. Applied Energy, 2023, 336. (SCI-1[IF: 11.446]; Top; ESI; EI)

    [77] Yifei Zhou, Shunli Wang*, Yanxing Xie, Jiawei Zeng, Carlos Fernandez. Remaining useful life prediction and state of health diagnosis of lithium-ion batteries with multiscale health features based on optimized CatBoost algorithm. Energy, 2024, 300 131575. (SCI-1[IF: 8.857]; Top; EI)

    五、获奖

    [1]  王顺利，中国发明协会人物奖，2025（排名第一）

    [2]  王顺利、刘广忱、张丽亚、王栓虎、黄琦、沈小虎、郭喜、齐咏生、林琳、金思宇、曹文、张勤、杨阔、霍宇辰、Etse Dablu Bobobee、张文霞、Carlos Fernandez，弱电网风光储多元能源耦合控制技术及其产业化应用，金砖国家发明展金奖（在所有参展作品中排名第三），2024（排名第一）

    [3]  王顺利、刘广忱、张成杰、林峰、刘冬雷、赵磊、金思宇、郭喜、Paul Takyi-Aninakwa，新型电力系统大规模储能安全监测核心技术与应用，美国硅谷国际发明创新展金奖，2024（排名第一）

    [4]  王顺利、刘广忱、刘冬雷、张成杰、谢滟馨、林峰、金思宇、赵磊、高正清、温素芳，电力储能系统运行安全检测关键技术及应用，中国技术市场协会金桥奖一等奖，2024（排名第一）

    [5]  王顺利、彭正红、刘冬雷、侯燕、王嘉、朱永杰，面向智能电网低碳储能的电量监测关键技术及应用，中国商业联合会科学技术一等奖，2023（排名第一）

    [6]  黄琦、王顺利、应全红、何明前、戚创事、李朋飞、王晓芳，强鲁棒性储能锂电池状态评估与安全监测核心技术与产业化应用，第48届日内瓦国际发明展国际金奖，2023（排名第二）

    [7]  李胜利、王顺利、周颖、刘广忱、周大伟、陈超、齐咏生、王栓虎、曹文、高正清、程亮玮，大规模风光储电站储能状态感知与安全监测关键技术及应用，中国电力建设科学技术进步一等奖，2024（排名第二）

    [8]  王顺利、曹文、刘广忱、周磊、沈小虎、王栓虎，全景感知风光储系统状态监控核心技术研发与应用，中国发明协会发明创新二等奖，2025（排名第一）

    六、知识产权

    （一）国家与行业标准

    (1)  王顺利、刘广忱、王晓芳、王庆、刘凡、何明前、陈进昭、黄琦、高海英、应全红、白德奎、郭喜、陈超、辛力坚、薛守洪、张志伟、林琳、陈少卿、李泽昊、于春梅、曹文、范永存、陈蕾、靳玉红、刘芙、李建超、刘冬雷、谢滟馨、金思宇、王超、李朋飞、蒲国波、黄丽娜、张梦芸、海南、戚创事、乔之勇、李川、邹沅汝、吴帆、马志强、林润曦、向俊菲、阳俊杰、曾佳卫、贾先屹、莫代江、李锦、刘珂、龙涛、时浩添. 电力储能系统运行安全检测, TMBJX 0011-2023, 绵阳市标准计量学会. (正式发布的地方标准)

    (2)  王顺利、白德奎、彭正红、张梦芸、应全红、曹文、于春梅、范永存、靳玉红、陈蕾、杨潇、王晓芳、朱永杰、李伟、李建超、王娜、张丽、谢滟馨、戚创事、刘冬雷、乔家璐、时浩添、周恒、梁雅雯、高海英、龙涛、王大兴、刘春梅、熊莉英、王军栋、林涛、胡萍. 锂离子电池能量状态检测标准, T/MBJX 0010-2022, 绵阳市标准计量学会. (正式发布的地方标准)

    (3)  王顺利、白德奎、彭正红、范永存、于春梅、靳玉红、余鹏、陈蕾、朱永杰、李伟、李建超、曹文、王娜、杨潇、王大兴、刘春梅、熊莉英、林涛、胡萍、张丽、王军栋、时浩添、谢滟馨、徐文华、乔家璐、任璞、夏黎黎、刘珂、周恒. 锂离子电池老化机理建模评价标准, T/MBJX 0001-2022, 绵阳市标准计量学会. (正式发布的地方标准)

    (4)  王顺利、应全红、谢伟、彭正红、范永存、于春梅、黄旭东、朱永杰、李伟、李建超、曹文、王娜、余鹏、王大兴、邹传云、林涛、胡萍、陈蕾. 锂离子电池荷电状态检测方法, TMBJX 0004—2020, 绵阳市标准计量学会 (正式发布的地方标准)

    （二）国际/国内发明专利

    (1)     Shunli Wang, Nan Hai, Yan Hou, Qi Huang, Yongjie Zhu, Chunmei Yu, Wen Cao, Gexiang Zhang, Jiawei Peng, Yongcun Fan. Method for Estimating Accurately Lithium-ion Battery SOC Based on Multilayer Feedforward Genetic Neural Network (LU503903). (International Invention Patents)

    (2)     Shunli Wang, Haotian Shi, Yan Hou, Qi Huang, Yongjie Zhu, Chunmei Yu, Wen Cao. Online Self-adaptive Method for Estimating Battery Internal Temperature (LU503873). (International Invention Patents)

    (3)  王顺利，高正清，刘广忱，林琳，王玲琳，陈超，党泉，王俊凯，王元，燕欣宇，霍宇辰，霍亚，李飞，王建. 基于改进无迹卡尔曼滤波的储能系统电量状态估计平台及方法 (授权号202510866485.0). （授权的国家发明专利）

    (4)  王顺利，杨福庚，刘广忱，王栓虎，张丽亚，高正清，金思宇，齐咏生，程亮玮，周磊，李斌. 一种大规模储能电站运行监测管理系统及管理方法 (授权号202411620529.3). （授权的国家发明专利）

    (5)  王顺利，张丽亚，刘广忱，杨福庚，王栓虎，齐咏生，刘冬雷，海南，张文霞，霍宇辰，张勤. 一种大规模储能电站安全预警评估方法及装置 (授权号202411583204.2). （授权的国家发明专利）

    (6)  王顺利，海南，朱华伟，陈光平，范永存，曹文，于春梅，龙涛，毛辉浪，杨晓勇，朱斌，谢滟馨，陈蕾，高海英，金思宇，吴帆. 基于混沌粒子群反馈优化的多温度锂电池SOC估算方法 (授权号202410411497.X). （授权的国家发明专利）

    （三）软件著作权

    (1)  王顺利，刘广忱，杨阔，王晓芳，林琳. 基于阿伦尼乌斯修正的储能电池老化安全与容量衰减复合评估软件（授权号2024SR1360225）. （授权的软件著作权）

    (2)  王顺利，李小霞，黄琼，苏杰，王霓，谢东，白德奎，李建超，邹传云. 锂离子电池组关键参数在线监测软件（授权号2019SR1042756）. （授权的软件著作权）

    (3)  王顺利，李小霞，黄琼，苏杰，王霓，谢东，白德奎，李建超，邹传云. 锂离子电池组关键参数在线监测软件（授权号2019SR1042756）. （授权的软件著作权）

    (4)  王顺利，金思宇，黄俊涵. 强鲁棒性锂离子电池系统循环寿命预估系统（授权号2022SR0006243）. （授权的软件著作权）

    (5)  王顺利，金思宇，黄俊涵，余鹏. 基于FS-LSTM模型的锂电池SOH与RUL联合状态预测系统（授权号2022SR0025556）. （授权的软件著作权）

    (6)  王顺利. 锂电池循环寿命预测分析管理系统 (授权号2021SR2230083).  (授权的软件著作权)

    (7)  王顺利，于春梅，陈蕾，刘冬雷. 便携式锂电池组关键参数检测与估计系统软件 （授权号2022SR0805695）. （授权的软件著作权）

    (8)  王顺利，杨潇，乔家璐. 基于强跟踪SR-CKF的锂电池SOC估计系统 (授权号2022SR0516014).  (授权的软件著作权)

    (9)  王顺利，乔家璐，杨潇. 高精度锂离子电池剩余电量在线估算系统 (授权号2022SR0500928).  (授权的软件著作权)

    (10)     王顺利，张梦芸，杨潇. 基于VFFRLS算法的锂电池SOC预测软件 （授权号2022SR0782339）. （授权的软件著作权）

    (11)     王顺利，刘雨洋，谢滟馨. 基于AC-HIF的动力锂电池SOC与SOH联合预估系统 （授权号2022SR0870003）.（授权的软件著作权）

    (12)     王顺利，金思宇，杨潇，谢滟馨，余鹏. 在线NMC电池SOH/SOP/RUL联合估计系统 （登记号：2022SR0717639）. （授权的软件著作权）

    (13)     王顺利，王超，乔家璐. 基于注意力机制编解码器模型的锂电池RUL预测系统（授权号2022SR0553006）.（授权的软件著作权）

    (14)     王顺利，高海英，乔家璐. 基于人工智能的锂离子电池剩余电量管理平台（授权号2022SR0552966）.（授权的软件著作权）

    (15)     王顺利，戚创事，谢滟馨，曹文. 基于FF-MILS的锂离子电池关键模型参数实时监测系统（授权号2022SR0728230）. （授权的软件著作权）

    (16)     王顺利，金思宇，黄俊涵. 强鲁棒性锂离子电池系统循环寿命预估系统（授权号2022SR0006243）. （授权的软件著作权）

    (17)     王顺利，戚创事，谢滟馨，曹文. 基于FF-MILS的锂离子电池关键模型参数实时监测系统（授权号2022SR0728230）.（授权的软件著作权）

     


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