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J

Jinpeng Tian

hong kong polytechnic university

34H指数
119论文数
6.2K被引数
收录论文 38
发表时间
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Empowering Knowledge-Guided Intelligence for Accurate and Robust Few-Shot Lithium-Ion Battery State of Health Estimation赋能知识引导智能以实现准确且鲁棒的小样本锂离子电池健康状态估计
erreTransportation
IF17
err2026-03-12
err0
PREAI
errRuohan Guo; Kui Zhang; Shangyang He; Dandan Peng; Jiuyang Song; Jinpeng Tian; Safwat Khair Rayeem; Huan Wang; Weixiang Shen; Chi Yung Chung
err分享
err收藏
Maximizing Intraday V2G Feasible Capacity of EVs: A Cross-Disciplinary Approach With Traffic Flow and Prospect TheoryKe, S.; Zhang, K.; Mai, W.; Guo, R.; He, S.; Tian, J.; Chung, C.Y. 最大化电动汽车日内V2G可行容量：一种结合交通流和前景理论的跨学科方法。IEEE Trans. Transp. Electr. 2026. [Google Scholar] [CrossRef]
errIEEE Transactions on Transportation Electrification
IF8.3
err2026-02-03
err0
PREAI
errSong Ke; Kui Zhang; Weijie Mai; Ruohan Guo; Shangyang He; Jinpeng Tian; Chi Yung Chung
err分享
err收藏
Regenerate large-scale retired second-life battery datasets via recovered capacity labels-based deep learning通过基于恢复容量标签的深度学习重新生成大规模退役的二次电池数据集
errEnergy Storage Materials
IF20.2
err2026-01-30
err0
PREAI
errYuchen Xu; Tianxiang Zeng; Weiwen Peng; Jinpeng Tian; Xiaojian Yi; Qizhi Xu; Shun-Peng Zhu
err分享
err收藏
Exploiting physics-knowledge from unlabeled data to enhance battery lifetime prediction利用来自未标记数据的物理知识来增强电池寿命预测
erreTransportation
IF17
err2026-01-29
err0
PREAI
errAihua Tang; Yuehan Li; Jinpeng Tian; Quanqing Yu; Ning Yu; Yuchen Xu
err分享
err收藏
Privacy-preserving collaborative battery fault warning for massive electric vehicles by heterogeneous data from charging stations基于充电站异构数据的海量电动汽车电池隐私保护协同故障预警
errNature Communications
IF15.7
err2025-12-19
err0
errOAAI
errHaosen Yang; Jinpeng Tian; Weijie Mai; Chunhua Wang; Luchun Ran; Tao Wu; Shangyang He; Ziqiang Wang; Xin Shi; Zipeng Liang; Yi Yu; Hanjiang Dong; Chongyu Wang; Weixiang Shen; C. Y. Chung
err分享
err收藏
Operation of Ultrafast Charging Stations With Virtual Batteries on Voltage Constraints Using Physics-Informed Neural Network基于物理信息神经网络，考虑电压约束和虚拟电池的超快速充电站运行
errIEEE Transactions on Transportation Electrification
IF8.3
err2025-09-10
err0
PREAI
errShangyang He; Weijie Mai; Junming Jiang; Jinpeng Tian; Wei Lin; Song Ke; Shibo Chen; Ruohan Guo; Chi Yung Chung
err分享
err收藏
Immediate remaining capacity estimation of heterogeneous second-life lithium-ion batteries via deep generative transfer learning异构梯次利用锂离子电池的即时剩余容量估计：基于深度生成迁移学习
errEnergy Environ. Sci.
IF30.8
err2025-07-29
err0
PREAI
errShengyu Tao; Ruohan Guo; Jaewoong Lee; Scott Moura; Lluc Canals Casals; Shida Jiang; Junzhe Shi; Stephen Harris; Tongda Zhang; Chi Yung Chung; Guangmin Zhou; Jinpeng Tian; Xuan Zhang
err分享
err收藏
Trustworthy battery state of charge estimation enabled by multi-task deep learning基于多任务深度学习的可信电池荷电状态估计
errENERGY
IF9.4
err2025-07-01
err0
errOAAI
errMa, Liang; Li, Yannan; Zhang, Tieling; Tian, Jinpeng; Guo, Qinghua; Guo, Shanshan; Hu, Chunsheng; Chung, Chi Yung
err分享
err收藏
Confidence-aware quantile Transformer for reliable degradation prediction of battery energy storage systems基于置信度感知分位数变换的电池储能系统可靠退化预测
errRELIABILITY ENGINEERING & SYSTEM SAFETY
IF11
err2025-06-16
err0
PREAI
errWu, Rui; Tian, Jinpeng; Yao, Jiachi; Han, Te; Hu, Chunsheng
err分享
err收藏
Adaptive engineering-assisted deep learning for battery module health monitoring across dynamic operations自适应工程辅助深度学习在动态运行中对电池模块健康状态的监测
errENERGY
IF9.4
err2025-05-01
err0
PREAI
errTang, Aihua; Xu, Yuchen; Tian, Jinpeng; Zou, Hang; Liu, Kailong; Yu, Quanqing
err分享
err收藏
Enhanced battery life prediction with reduced data demand via semi-supervised representation learning通过半监督表示学习增强电池寿命预测，减少数据需求
errJOURNAL OF ENERGY CHEMISTRY
IF14.9
err2025-02-01
err0
errOAAI
errMa, Liang; Tian, Jinpeng; Zhang, Tieling; Guo, Qinghua; Chung, Chi Yung
err分享
err收藏
Linear study of magnetic sensing for MTJ devices based on CoFeB/MgO/ CoFeB magnetic films with large aspect ratio
errSURFACE & COATINGS TECHNOLOGY
IF6.1
err2025-02-01
err0
PREAI
errLiu, Xing; Song, Qiuming; Yang, Jiahao; Jia, Yuan; Chen, Yulong; Tian, Jinpeng; Zhang, Zhixing; Zhang, Wenwei
err分享
err收藏
Deep learning driven battery voltage-capacity curve prediction utilizing short-term relaxation voltage利用短期弛豫电压的深度学习驱动电池电压-容量曲线预测
errETRANSPORTATION
IF17
err2024-12-01
err0
PREAI
errTang, Aihua; Xu, Yuchen; Liu, Pan; Tian, Jinpeng; Wu, Zikang; Hu, Yuanzhi; Yu, Quanqing
err分享
err收藏
Battery health management in the era of big field data
errJOULE
IF35.4
err2024-11-01
err0
PREAI
errGuo, Ruohan; Tian, Jinpeng
err分享
err收藏
Battery state of health estimation under dynamic operations with physics-driven deep learning基于物理驱动深度学习的动态操作下电池健康状态估计
errAPPLIED ENERGY
IF11
err2024-09-01
err6
PREAI
errTang, Aihua; Xu, Yuchen; Hu, Yuanzhi; Tian, Jinpeng; Nie, Yuwei; Yan, Fuwu; Tan, Yong; Yu, Quanqing
err分享
err收藏
Accurate and efficient remaining useful life prediction of batteries enabled by physics-informed machine learning通过基于物理原理的机器学习实现准确高效的电池剩余使用寿命预测
errJOURNAL OF ENERGY CHEMISTRY
IF14.9
err2024-04-01
err17
errOAAI
errMa, Liang; Tian, Jinpeng; Zhang, Tieling; Guo, Qinghua; Hu, Chunsheng
err分享
err收藏
Exploiting domain knowledge to reduce data requirements for battery health monitoring利用领域知识降低电池健康监测的数据需求
errENERGY STORAGE MATERIALS
IF20.2
err2024-03-01
err7
PREAI
errTian, Jinpeng; Ma, Liang; Zhang, Tieling; Han, Te; Mai, Weijie; Chung, C. Y.
err分享
err收藏
Challenges and opportunities for battery hea- lth estimation: Bridging laboratory research and real-world applications电池健康评估的挑战和机遇: 弥合实验室研究和实际应用
errJOURNAL OF ENERGY CHEMISTRY
IF14.9
err2024-02-01
err39
PREAI
errHan, Te; Tian, Jinpeng; Chung, C. Y.; Wei, Yi-Ming
err分享
err收藏
A novel pseudo-open-circuit voltage modeling method for accurate state-of-charge estimation of LiFePO4 batteries一种新的精确估计LiFePO4电池荷电状态的伪开路电压建模方法
errAPPLIED ENERGY
IF11
err2023-10-01
err21
PREAI
errZhang, Kaixuan; Xiong, Rui; Li, Qiang; Chen, Cheng; Tian, Jinpeng; Shen, Weixiang
err分享
err收藏
Deep neural network based battery impedance spectrum prediction using only impedance at characteristic frequencies基于深度神经网络的电池阻抗谱预测仅使用特征频率处的阻抗
errJOURNAL OF POWER SOURCES
IF7.9
err2023-10-01
err6
PREAI
errSun, Yue; Xiong, Rui; Wang, Chenxu; Tian, Jinpeng; Li, Hailong
err分享
err收藏

研究方向

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合作学者
合作期刊
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