杨瑞鑫

代表性论文：

1. Yang R, Xiong R*, Shen W, Lin X. Extreme Learning Machine-Based Thermal Model for Lithium-Ion Batteries of Electric Vehicles under External Short Circuit. Engineering, 2021, 7(3): 395-405. (IF=12.834，ESI高被引)

2. Yang R, Xiong R*, Shen W. On-board soft short circuit fault diagnosis of lithium-ion battery packs for electric vehicles using extended Kalman filter. CSEE Journal of Power and Energy Systems, 2022, 8(1): 258-270. (IF=6.014)

3. Yang R, Xiong R*, Ma S, Lin X. Characterization of external short circuit faults in electric vehicle Li-ion battery packs and prediction using artificial neural networks. Applied Energy, 2020, 260: 114253. (IF=11.446)

4. Yang R, Xiong R*, He H, Chen Z. A fractional-order model-based battery external short circuit fault diagnosis approach for all-climate electric vehicles application. Journal of Cleaner Production, 2018, 187: 950-959. (IF=11.072)

5. Yang R, Xiong R*, He Hongwen, Mu Hao, Wang Chun. A novel method on estimating the degradation and state of charge of lithium-ion batteries used for electrical vehicles. Applied Energy, 2017, 207: 336-345. (IF=11.446)

6. Xiong R*, Yang R, Chen Z, Shen W. Online fault diagnosis of external short circuit for lithium-ion battery pack. IEEE Transactions on Industrial Electronics, 2020, 67(2): 1081-1091. (IF=8.162，ESI高被引)

7. Ma Z, Yang R*, Wang Z. A novel data-model fusion state-of-health estimation approach for lithium-ion batteries. Applied Energy, 2019, 237: 836-847. (IF=11.446)

8. Guo S*, Yang R*, Shen W, Liu Y, Guo S. DC-AC hybrid rapid heating method for lithium-ion batteries at high state of charge operated from low temperatures. Energy, 2022, 238: 121809. (IF=8.857)

9. 杨瑞鑫, 熊瑞*, 孙逢春. 锂离子动力电池外部短路测试平台开发与试验分析, 电气工程学报, 2021, 16(1), 103-118. (封面文章)

10. 熊瑞, 李正阳, 燕润博, 杨瑞鑫*. 全气候自热锂离子电池及低温极速加热策略研究, 机械工程学报, 2023.

部分主持及参与项目：

1. 锂离子动力电池低温极速自加热多维耦合机理与调控方法研究，国家自然科学基金青年项目，2022~2024，主持.

2. 低温环境车用动力电池复合加热多维耦合机理建模与协同调控，中国博士后科学基金，2021~2022，主持.

3. 新能源汽车驱动电池可靠性研究，中国人民财产保险股份有限公司灾害研究基金，2018~2020，主持.

4. 云边协同大数据驱动的电池储能系统故障精准诊断及预警技术，国家重点研发计划课题，2021~2024，参与.

5. 动力电池快充过程多尺度多场耦合机理与多层级协同热调控快充方法研究，国家自然科学基金，2022~2025，参与.