Kevin Liu 山东大学主页平台管理系统--Home

Kevin Liu Professor

刘凯龙，山东大学控制科学与工程学院教授、博士生导师，国家海外优青、山东大学杰出中青年学者(第一层次)、科睿唯安全球高被引科学家、IEEE高级会员。2018年至2022年在英国华威大学储能研究院（WMG）先后担任博士后、高级研究员、助理教授。主要从事交通电气化、储能系统管理与控制研究。以第一或通讯作者发表SCI一区学术论文50余篇，其中高被引论文26篇、热点论文7篇；撰写学术专著4部，以第一发明人授权国内外发明专利6项。获英国未来领袖基金提名（UKRI Future Leader Fellowshi... More+

Paper Publications

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[21] Kailong Liu , Qiao Peng , Hongbin Sun , Minrui Fei , Huimin Ma and Tianyu Hu. A transferred recurrent neural network for battery calendar health prognostics of energy-transpor.... IEEE Transactions on Industrial Informatics, 2022, 18(11): 8172-8181.【IF=11.65, ESI高被引】,
[22] Kailong Liu , Zhongbao Wei , Chenghui Zhang , Yunlong Shang , Remus Teodorescu and Qing-Long Han. Towards long lifetime battery: AI-based manufacturing and management. IEEE/CAA Journal of Automatica Sinica, 2022, 9(7): 1139-1165.【IF=7.85, ESI高被引】,
[23] Kailong Liu , Xiaosong Hu , Zhongbao Wei , Yi Li and Yan Jiang. Modified Gaussian process regression models for cyclic capacity prediction of lithium-ion batteri.... IEEE Transactions on Transportation Electrification, 2019, 5(4): 1225-1236.【IF=6.52, ESI高被引, ESI热点, SCI他引135次】,
[24] Kailong Liu , Xiaosong Hu , Jinhao Meng , Josep M. Guerrero and Remus Teodorescu. RUBoost-based ensemble machine learning for electrode quality classification in Li-ion battery ma.... IEEE/ASME Transactions on Mechatronics, 2022, 27(5): 2474-2483. 【IF=5.87】,
[25] Kailong Liu , Xiaopeng Tang , Remus Teodorescu , Furong Gao and Jinhao Meng. Future ageing trajectory prediction for lithium-ion battery considering the knee point effect. IEEE Transactions on Energy Conversion, 2022, 37(2): 1282-1291.【IF=4.88】,
[26] Kailong Liu , Qiao Peng , Remus Teodorescu and Aoife M. Foley. Knowledge-guided data-driven model with transfer concept for battery calendar ageing trajectory p.... IEEE/CAA Journal of Automatica Sinica, 2023, 10(1): 272-274.【IF=7.85】,
[27] Kailong Liu , TR Ashwin , Xiaosong Hu , Mattin Lucu and W Dhammika Widanage. A comparative study of various modelling techniques for calendar aging prediction of Li-ion batte.... Renewable and Sustainable Energy Reviews, 2020, 131: 110017. 【IF=16.80】,
[28] Kailong Liu , Zhile Yang , Xiaopeng Tang and Wenping Cao. Automotive battery equalizers based on joint switched-capacitor and buck-boost converters. IEEE Transactions on Vehicular Technology, 69(11), (2020): 12716-12724.【IF=6.24】,
[29] Kailong Liu , Yizhao Gao , Chong Zhu , Kang Li , Minrui Fei , Chen Peng and Qing-Long Han. Electrochemical modeling and parameterization towards control-oriented management of lithium-ion .... Control Engineering Practice, 2022, 124: 105176.【IF=4.06, CEP Emerging Leaders论文, ESI高被引】,
[30] Kailong Liu , Qiao Peng , Yunhong Che , Yusheng Zheng , Kang Li , Remus Teodorescu , Dhammika Widanage and Anup Barai. Transfer learning for battery smarter state estimation and ageing prognostics: Recent progress, c.... Advances in Applied Energy, 2022, 100117. 【Applied Energy精选论文】,
[31] Kailong Liu , Xiaosong Hu , Zhile Yang , Yi Xie and Shengzhong Feng. Lithium-ion battery charging management considering economic costs of electrical energy loss and .... Energy conversion and management, 2019, 195: 167-179. 【IF=11.53, ESI高被引, SCI他引109次】,
[32] Kailong Liu , Zhongbao Wei , Zhile Yang and Kang Li. Mass load prediction for lithium-ion battery electrode clean production: a machine learning appro.... Journal of Cleaner Production, 2021, 289: 125159.【IF=11.07, ESI高被引】,
[33] Kailong Liu , Kang Li , Qiao Peng and Cheng Zhang. A brief review on key technologies in the battery management system of electric vehicles. Frontiers of mechanical engineering, 2019, 14(1): 47-64. 【IF=4.06, ESI高被引, SCI他引193次】,
[34] Kailong Liu , Cheng Zhang and Kang Li. Constrained generalized predictive control of battery charging process based on a coupled thermoe.... Journal of Power Sources, 347 (2017): 145-158.【IF: 9.79】,
[35] Kailong Liu , Mona Faraji Niri , Geanina Apachitei , Michael Lain , David Greenwood and James Marco. Interpretable machine learning for battery capacities prediction and coating parameters analysis. Control Engineering Practice, 2022, 124: 105202.【IF=4.06, CEP Emerging Leaders论文】,
[36] Kailong Liu , Kang Li , Haiping Ma , Jianhua Zhang and Qiao Peng. Multi-objective optimization of charging patterns for lithium-ion battery management. Energy Conversion and Management, 159 (2018): 151-162. 【IF=11.53】,
[37] Kailong Liu , Qiao Peng , Kang Li and Tao Chen. Data-based interpretable modeling for property forecasting and sensitivity analysis of Li-ion bat.... Automotive Innovation, 2022: 1-13. 【中国汽车工程领域T1科技期刊】,
[38] Kailong Liu , Kang Li , Zhile Yang , Cheng Zhang and Jing Deng. An advanced Lithium-ion battery optimal charging strategy based on a coupled thermoelectric model. Electrochimica Acta, 225 (2017): 330-344.【IF: 7.34】,
[39] Kailong Liu , Zhile Yang , Haikuan Wang and Kang Li. Classifications of Lithium-ion Battery Electrode Property based on Support Vector Machine with Va.... International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE), Springer 2021.【Best paper awarded】,
[40] Kailong Liu , Tao Chen and Kang Li. Interpretable Sensitivity Analysis and Electrode Porosity Classification for Li ion Battery Smart.... 2021 IEEE Sustainable Power and Energy Conference.【Best paper awarded】,

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Paper Publications

[21] Kailong Liu , Qiao Peng , Hongbin Sun , Minrui Fei , Huimin Ma and Tianyu Hu. A transferred recurrent neural network for battery calendar health prognostics of energy-transpor.... IEEE Transactions on Industrial Informatics, 2022, 18(11): 8172-8181.【IF=11.65, ESI高被引】,

[22] Kailong Liu , Zhongbao Wei , Chenghui Zhang , Yunlong Shang , Remus Teodorescu and Qing-Long Han. Towards long lifetime battery: AI-based manufacturing and management. IEEE/CAA Journal of Automatica Sinica, 2022, 9(7): 1139-1165.【IF=7.85, ESI高被引】,

[24] Kailong Liu , Xiaosong Hu , Jinhao Meng , Josep M. Guerrero and Remus Teodorescu. RUBoost-based ensemble machine learning for electrode quality classification in Li-ion battery ma.... IEEE/ASME Transactions on Mechatronics, 2022, 27(5): 2474-2483. 【IF=5.87】,

[25] Kailong Liu , Xiaopeng Tang , Remus Teodorescu , Furong Gao and Jinhao Meng. Future ageing trajectory prediction for lithium-ion battery considering the knee point effect. IEEE Transactions on Energy Conversion, 2022, 37(2): 1282-1291.【IF=4.88】,

[26] Kailong Liu , Qiao Peng , Remus Teodorescu and Aoife M. Foley. Knowledge-guided data-driven model with transfer concept for battery calendar ageing trajectory p.... IEEE/CAA Journal of Automatica Sinica, 2023, 10(1): 272-274.【IF=7.85】,

[27] Kailong Liu , TR Ashwin , Xiaosong Hu , Mattin Lucu and W Dhammika Widanage. A comparative study of various modelling techniques for calendar aging prediction of Li-ion batte.... Renewable and Sustainable Energy Reviews, 2020, 131: 110017. 【IF=16.80】,

[28] Kailong Liu , Zhile Yang , Xiaopeng Tang and Wenping Cao. Automotive battery equalizers based on joint switched-capacitor and buck-boost converters. IEEE Transactions on Vehicular Technology, 69(11), (2020): 12716-12724.【IF=6.24】,

[31] Kailong Liu , Xiaosong Hu , Zhile Yang , Yi Xie and Shengzhong Feng. Lithium-ion battery charging management considering economic costs of electrical energy loss and .... Energy conversion and management, 2019, 195: 167-179. 【IF=11.53, ESI高被引, SCI他引109次】,

[32] Kailong Liu , Zhongbao Wei , Zhile Yang and Kang Li. Mass load prediction for lithium-ion battery electrode clean production: a machine learning appro.... Journal of Cleaner Production, 2021, 289: 125159.【IF=11.07, ESI高被引】,

[33] Kailong Liu , Kang Li , Qiao Peng and Cheng Zhang. A brief review on key technologies in the battery management system of electric vehicles. Frontiers of mechanical engineering, 2019, 14(1): 47-64. 【IF=4.06, ESI高被引, SCI他引193次】,

[34] Kailong Liu , Cheng Zhang and Kang Li. Constrained generalized predictive control of battery charging process based on a coupled thermoe.... Journal of Power Sources, 347 (2017): 145-158.【IF: 9.79】,

[35] Kailong Liu , Mona Faraji Niri , Geanina Apachitei , Michael Lain , David Greenwood and James Marco. Interpretable machine learning for battery capacities prediction and coating parameters analysis. Control Engineering Practice, 2022, 124: 105202.【IF=4.06, CEP Emerging Leaders论文】,

[36] Kailong Liu , Kang Li , Haiping Ma , Jianhua Zhang and Qiao Peng. Multi-objective optimization of charging patterns for lithium-ion battery management. Energy Conversion and Management, 159 (2018): 151-162. 【IF=11.53】,

[37] Kailong Liu , Qiao Peng , Kang Li and Tao Chen. Data-based interpretable modeling for property forecasting and sensitivity analysis of Li-ion bat.... Automotive Innovation, 2022: 1-13. 【中国汽车工程领域T1科技期刊】,

[38] Kailong Liu , Kang Li , Zhile Yang , Cheng Zhang and Jing Deng. An advanced Lithium-ion battery optimal charging strategy based on a coupled thermoelectric model. Electrochimica Acta, 225 (2017): 330-344.【IF: 7.34】,

[39] Kailong Liu , Zhile Yang , Haikuan Wang and Kang Li. Classifications of Lithium-ion Battery Electrode Property based on Support Vector Machine with Va.... International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE), Springer 2021.【Best paper awarded】,

[40] Kailong Liu , Tao Chen and Kang Li. Interpretable Sensitivity Analysis and Electrode Porosity Classification for Li ion Battery Smart.... 2021 IEEE Sustainable Power and Energy Conference.【Best paper awarded】,