个人简介
王顺利，教授，博导，学术院长，国家电器安全质量检测中心（四川）学术带头人，四川省海外高层次留学人才，绵阳市学术和技术带头人，新能源测控研究中心（四川省电力储能系统安全运行与控制工程研究中心、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，聚焦开展智能电网绿色低碳储能研究，进行新能源与储能系统关键技术研发与产业化应用。承担国家自然科学基金、省科技厅重点研发等项目56项，在SCI-1区TOP等期刊上发表文章173篇，Research Interest Score 10525，他引2269次，h-index 24，授权国家发明专利等知识产权53项，排名第一在Elsevier和IET等国内外著名出版社出版著作7部（Elsevier专著2部，IET专著2部，CRC Press专著1部，机工社著作2部，《新能源技术与电源管理》总印数6300册并重印4次），指导学生开展科技创新项目29项，优秀结题6项；科技竞赛获奖34项，获四川省海外高层次留学人才等荣誉称号23项，获得第48届日内瓦发明展金奖等科技奖励13项，担任国际会议主席3次，国际期刊编委4项，承办国际性新能源高峰论坛3届，入选院士工作站团队、军民融合创新团队，成果鉴定达到国际先进水平，获得《人民日报》报道。
针对新能源与储能系统国家重大战略需求，根据特种飞行器等领域中保障性电源系统研发目标，系统并创新性地构建了极端低温锂离子电池多特征复合建模机制。1）构建电-热-电化学多特征复合优化模型，解决了电池内部特性精确表征难题；2）提出多维信息融合在线估计新算法，突破多时间尺度状态参量协同预估瓶颈，显著提升了电池系统安全监测的可靠性；3）形成双重放大隔离和多重EMC防护机制，攻克从器件级到系统级极端低温储能难题，服务于系列化军民系统装备。基于产学研深度融合，担任力王新能源首席科学家、长虹润天能源总工程师、新智绿能总工程师和英杰电气储能系统技术顾问，和中国科学技术大学、Robert Gordon University、Aalborg University联合，与中物院、中电集团、中兴能源和长虹电源等单位合作，形成状态监测与控制系统架构新技术体系，实现6大系列30多个品种电池测控装备的研制和产业化应用，主持成果鉴定3项和发布标准3项。相关研究成果已在多家单位使用，培养了大批高层次优秀人才，带动储能领域上下游产业链的发展，社会和经济效益显著。
ORCID介绍：https://orcid.org/0000-0003-0485-8082
中文网址：https://www.scholarmate.com/P/NELab
英文网址：https://www.researchgate.net/lab/NELab-Shunli-Wang
WOS网址：https://www.webofscience.com/wos/author/rid/AAR-6882-2020
团队简介：http://gmis.swust.edu.cn/TutorIntroduction/TutorInfo.aspx?zjbh=1020120026
国际论坛：http://www.jcyjs.com/
导航地址：https://surl.amap.com/3xCPJYjmegG
近期论文
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Shi Haotian, Wang Shunli*, Fernandez Carlos, Yu Chunmei, Xu Wenhua, Dablu Bobobee Etse, Wang Liping. 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)
Wang Shunli*, Shang Liping, Li Zhanfeng, Deng Hu, Li Jianchao. Online dynamic equalization adjustment of high-power lithium-ion battery packs based on the state of balance estimation. Applied Energy 2017; 9: 69-83. (SCI-1[IF: 11.446]; Top; ESI; EI)
PaulTakyi Aninakwa, Wang Shunli* Zhang Hongying, Yang Xiaoyong, Fernandez Carlos. An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries. Applied Energy 2022. (SCI-1[IF: 11.446]; Top; ESI; EI)
Xie Yanxin, Wang Shunli* Zhang Gexiang, Fan Yongcun, 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)
Shi Haotian, Wang Shunli*, Fernandez Carlos, Yu Chunmei, Xu Wenhua, Dablu Bobobee Etse, Wang Liping. Improved multi-time scale lumped thermoelectric coupling modeling and parameter dispersion evaluation of lithium-ion batteries. Applied Energy 2022. (SCI-1[IF: 11.446]; Top; ESI; EI)
Wang Shunli*, Daniel-Ioan Stroe, Fernandez Carlos, Xiong Liying, Fan Yongcun, Cao Wen. A novel power state evaluation method for the lithium battery packs based on the improved external measurable parameter coupling model. Journal of Cleaner Production 2020; 242: 1-13. (SCI-1[IF: 11.072]; Top; EI)
Wang Shunli*, Tang Wu, Fernandez Carlos, Yu Chunmei, Zou Chuanyun, Zhang Xiaoqin. A novel endurance prediction method of series connected lithium-ion batteries based on the voltage change rate and iterative calculation. Journal of Cleaner Production 2019; 210: 43-54. (SCI-1[IF: 11.072]; Top; EI)
Wang Shunli*, Fernandez Carlos, Chen Mingjie, Wang Lu, Su Jie. A novel safety anticipation estimation method for the aerial lithium-ion battery pack based on the real-time detection and filtering. Journal of Cleaner Production 2018; 185: 187-197. (SCI-1[IF: 11.072]; Top; EI)
Wang Shunli*, Fernandez Carlos, Zou Chuanyun, Yu Chunmei, Li Xiaoxia, Pei Shijie, Xie Wei. Open circuit voltage and state of charge relationship functional optimization for the working state monitoring of the aerial lithium-ion battery pack. Journal of Cleaner Production 2018; 198: 1090-1104. (SCI-1[IF: 11.072]; Top; EI)
Wang Shunli*, Fernandez Carlos, Yu Chunmei, Fan Yongcun, Cao Wen, Daniel-Ioan Stroe. A novel charged state prediction method of the lithium ion battery packs based on the composite equivalent modeling and improved splice Kalman filtering algorithm. Journal of Power Sources 2020; 471: 1-13. (SCI-1[IF: 9.794]; Top; ESI; EI)
Wang Shunli*, Daniel-Ioan Stroe, Fernandez Carlos, Yu Chunmei, Zou Chuanyun, Li Xiaoxia. A novel energy management strategy for the ternary lithium batteries based on the dynamic equivalent circuit modeling and differential Kalman filtering under time-varying conditions. Journal of Power Sources 2020; 450: 1-14. (SCI-1[IF: 9.794]; Top; ESI; EI)
Wang Shunli*, Fernandez Carlos, Cao Wen, Zou Chuanyun, Yu Chunmei, Li Xiaoxia. An adaptive working state iterative calculation method of the power battery by using the improved Kalman filtering algorithm and considering the relaxation effect. Journal of Power Sources 2019; 428: 67-75. (SCI-1[IF: 9.794]; Top; ESI; EI)
Shi Haotian, Wang Shunli*, Wang Liping, Xu Wenhua, Carlos Fernandez, Etse Dablu Bobobee, Zhang Yongchao. On-line adaptive asynchronous parameter identification of lumped electrical characteristic model for vehicle lithium-ion battery considering multi-time scale effects. Journal of Power Sources 2022; 517: 1-14. (SCI-1[IF: 9.794]; Top; ESI; EI)
Wang Shunli*, Wu Fan, PaulTakyi-Aninakwa, Yu Chunmei, 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)
Wang Shunli*, PaulTakyi-Aninakwa, Siyu Jin, Yu Chunmei, Carlos Fernandez, Daniel-Ioan Stroe. 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; 11: 1-17. (SCI-1[IF: 8.857]; Top; EI)
Wang Shunli*, Fernandez Carlos, Zou Chuanyun, Yu Chunmei, Chen Lei, Zhang Li. A comprehensive working state monitoring method for power battery packs considering state of balance and aging correction. Energy 2019; 171 (15): 444-455. (SCI-1[IF: 8.857]; Top; EI)
Zhou Yifei,Wang Shunli*, Xie Yanxin, Shen Xianfeng 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)
Li Yang,Wang Shunli*, Lei Chen, Qi Chuangshi, 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)
Takyi-Aninakwa Paul, Wang Shunli*, 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. (SCI-1[IF: 8.857]; Top; EI)
Qiao Jialu, Wang Shunli*, Yu Chunmei, Yang Xiao, 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 2022; 126164. (SCI-1[IF: 8.857]; Top; EI)
Jiang Cong, Wang Shunli*, Wu Bin, Carlos Fernandez, Xiong Xin, Coffie-Ken James. A state-of-charge estimation method of the power lithium-ion battery in complex conditions based on adaptive square root extended Kalman filter. Energy 2021; 219: 1-12. (SCI-1[IF: 8.857]; Top; EI)
Takyi-Aninakwa Paul, Wang Shunli*, Zhang Hongying, Li Huan, Xu Wenhua, Fernandez Carlos. An optimized relevant long short-term memory-squared gain extended Kalman filter for the state of charge estimation of lithium-ion batteries. Energy 2022. (SCI-1[IF: 8.857]; Top; EI)
Wang Shunli*, Fan Yongcun, Jin Siyu, Takyi-Aninakwa Paul, Fernandez Carlos. Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries. Reliability Engineering & System Safety 2022; 230: 1-12. (SCI-1[IF: 7.247]; Top; ESI; EI)
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