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ORCIDKailong Liu
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2020 – today
- 2024
[j25]Kailong Liu
, Qiao Peng, Yuhang Liu, Naxin Cui, Chenghui Zhang:
Explainable Neural Network for Sensitivity Analysis of Lithium-Ion Battery Smart Production. IEEE CAA J. Autom. Sinica 11(9): 1944-1953 (2024)- [j24]Yunlong Shang, Guicheng Chen, Qiao Peng, Tao Zhu, Kailong Liu:
An Intelligent Preheating Approach Based on High-Gain Control for Lithium-Ion Batteries in Extremely Cold Environment. IEEE Trans. Ind. Electron. 71(5): 4697-4706 (2024) - [j23]Xin Gu, Jinglun Li, Kailong Liu, Yuhao Zhu, Xuewen Tao, Yunlong Shang:
A Precise Minor-Fault Diagnosis Method for Lithium-Ion Batteries Based on Phase Plane Sample Entropy. IEEE Trans. Ind. Electron. 71(8): 8853-8861 (2024) - [j22]Yi Xie, Wei Li, Ziyou Song, Bin Chen, Kailong Liu, Rui Yang, Yangjun Zhang:
A Health-Aware AC Heating Strategy With Lithium Plating Criterion for Batteries at Low Temperatures. IEEE Trans. Ind. Informatics 20(2): 2295-2306 (2024) - 2023
- [j21]Kailong Liu, Qiao Peng, Remus Teodorescu, Aoife M. Foley:
Knowledge-Guided Data-Driven Model With Transfer Concept for Battery Calendar Ageing Trajectory Prediction. IEEE CAA J. Autom. Sinica 10(1): 272-274 (2023) - [j20]Lingxing Kong, Kailong Liu, Deyi Fu, Boyong Liu, Jingkai Ma, Huini Sun, Shuang Bai:
Wind power regression prediction based on stacked LSTMs with attention mechanisms for evaluating technological improvement effects of wind turbines. J. Intell. Fuzzy Syst. 45(1): 51-62 (2023) - [j19]Tianyu Hu, Huimin Ma, Kailong Liu, Hongbin Sun:
Lithium-Ion Battery Calendar Health Prognostics Based on Knowledge-Data-Driven Attention. IEEE Trans. Ind. Electron. 70(1): 407-417 (2023) - [j18]Yi Xie, Wei Li, Xiaosong Hu, Manh-Kien Tran, Satyam Panchal, Michael Fowler, Yangjun Zhang, Kailong Liu:
Coestimation of SOC and Three-Dimensional SOT for Lithium-Ion Batteries Based on Distributed Spatial-Temporal Online Correction. IEEE Trans. Ind. Electron. 70(6): 5937-5948 (2023) - [j17]Wei Li, Yi Xie, Xiaosong Hu, Manh-Kien Tran, Michael Fowler, Satyam Panchal, Jintao Zheng, Kailong Liu:
An Internal Heating Strategy for Lithium-Ion Batteries Without Lithium Plating Based on Self-Adaptive Alternating Current Pulse. IEEE Trans. Veh. Technol. 72(5): 5809-5823 (2023) - [c6]Bingzhe Fu, Yihuan Li, Kailong Liu, Wei Lin:
A Physical-Data Fusion Framework for Lithium-ion Battery SOC Estimation. IECON 2023: 1-6 - 2022
- [j16]Kailong Liu, Zhongbao Wei, Chenghui Zhang, Yunlong Shang, Remus Teodorescu, Qing-Long Han:
Towards Long Lifetime Battery: AI-Based Manufacturing and Management. IEEE CAA J. Autom. Sinica 9(7): 1139-1165 (2022) - [j15]Yizhao Gao, Kailong Liu, Chong Zhu, Xi Zhang, Dong Zhang:
Co-Estimation of State-of-Charge and State-of- Health for Lithium-Ion Batteries Using an Enhanced Electrochemical Model. IEEE Trans. Ind. Electron. 69(3): 2684-2696 (2022) - [j14]Xiaopeng Tang, Furong Gao, Kailong Liu, Qi Liu, Aoife M. Foley:
A Balancing Current Ratio Based State-of-Health Estimation Solution for Lithium-Ion Battery Pack. IEEE Trans. Ind. Electron. 69(8): 8055-8065 (2022) - [j13]Kailong Liu, Qiao Peng, Hongbin Sun, Minrui Fei, Huimin Ma, Tianyu Hu:
A Transferred Recurrent Neural Network for Battery Calendar Health Prognostics of Energy-Transportation Systems. IEEE Trans. Ind. Informatics 18(11): 8172-8181 (2022) - [j12]Tianyu Hu, Huimin Ma, Hao Liu, Hongbin Sun, Kailong Liu:
Self-Attention-Based Machine Theory of Mind for Electric Vehicle Charging Demand Forecast. IEEE Trans. Ind. Informatics 18(11): 8191-8202 (2022) - 2021
- [j11]Xiaopeng Tang, Kailong Liu, Kang Li, Widanalage Dhammika Widanage, Emma Kendrick, Furong Gao:
Recovering large-scale battery aging dataset with machine learning. Patterns 2(8): 100302 (2021) - [j10]Kailong Liu, Yunlong Shang, Quan Ouyang, Widanalage Dhammika Widanage:
A Data-Driven Approach With Uncertainty Quantification for Predicting Future Capacities and Remaining Useful Life of Lithium-ion Battery. IEEE Trans. Ind. Electron. 68(4): 3170-3180 (2021) - [i2]Kailong Liu, Xiaosong Hu, Zhongbao Wei, Yi Li, Yan Jiang:
Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-ion Batteries. CoRR abs/2101.00035 (2021) - [i1]Kailong Liu, Xiaosong Hu, Huiyu Zhou, Lei Tong, Widanalage Dhammika Widanage, James Marco:
Feature Analyses and Modelling of Lithium-ion Batteries Manufacturing based on Random Forest Classification. CoRR abs/2102.06029 (2021) - 2020
- [j9]Zhile Yang, Monjur M. Mourshed, Kailong Liu, Xinzhi Xu, Shengzhong Feng:
A novel competitive swarm optimized RBF neural network model for short-term solar power generation forecasting. Neurocomputing 397: 415-421 (2020) - [j8]Yunlong Shang, Kailong Liu, Naxin Cui, Qi Zhang, Chenghui Zhang:
A Sine-Wave Heating Circuit for Automotive Battery Self-Heating at Subzero Temperatures. IEEE Trans. Ind. Informatics 16(5): 3355-3365 (2020) - [j7]Quan Ouyang, Zhisheng Wang, Kailong Liu, Guotuan Xu, Yue Li:
Optimal Charging Control for Lithium-Ion Battery Packs: A Distributed Average Tracking Approach. IEEE Trans. Ind. Informatics 16(5): 3430-3438 (2020) - [j6]Kailong Liu, Yi Li, Xiaosong Hu, Mattin Lucu, Widanalage Dhammika Widanage:
Gaussian Process Regression With Automatic Relevance Determination Kernel for Calendar Aging Prediction of Lithium-Ion Batteries. IEEE Trans. Ind. Informatics 16(6): 3767-3777 (2020) - [j5]Kailong Liu, Zhile Yang, Xiaopeng Tang, Wenping Cao:
Automotive Battery Equalizers Based on Joint Switched-Capacitor and Buck-Boost Converters. IEEE Trans. Veh. Technol. 69(11): 12716-12724 (2020) - [j4]Jingda Wu, Zhongbao Wei, Kailong Liu, Zhongyi Quan, Yunwei Li:
Battery-Involved Energy Management for Hybrid Electric Bus Based on Expert-Assistance Deep Deterministic Policy Gradient Algorithm. IEEE Trans. Veh. Technol. 69(11): 12786-12796 (2020) - [c5]Huhao Fu, Yiben Zhang, Kailong Liu, Chao Liu:
The HITSZ TTS system for Blizzard challenge 2020. Blizzard Challenge / Voice Conversion Challenge 2020
2010 – 2019
- 2019
- [j3]Zhile Yang, Kailong Liu, Jianping Fan, Yuanjun Guo, Qun Niu, Jianhua Zhang:
A novel binary/real-valued pigeon-inspired optimization for economic/environment unit commitment with renewables and plug-in vehicles. Sci. China Inf. Sci. 62(7): 70213:1-70213:3 (2019) - 2018
- [j2]Kailong Liu, Kang Li, Qiao Peng, Yuanjun Guo, Li Zhang:
Data-Driven Hybrid Internal Temperature Estimation Approach for Battery Thermal Management. Complex. 2018: 9642892:1-9642892:15 (2018) - [j1]Kailong Liu, Changfu Zou, Kang Li, Torsten Wik:
Charging Pattern Optimization for Lithium-Ion Batteries With an Electrothermal-Aging Model. IEEE Trans. Ind. Informatics 14(12): 5463-5474 (2018) - 2017
- [c4]Ziqi Yang, Zhile Yang, Kang Li, Wasif Naeem, Kailong Liu:
Heuristic Based Terminal Iterative Learning Control of ISBM Reheating Processes. LSMS/ICSEE (2) 2017: 262-271 - [c3]Haiping Ma, Pengcheng You, Kailong Liu, Zhile Yang, Minrui Fei:
Optimal Battery Charging Strategy Based on Complex System Optimization. LSMS/ICSEE (3) 2017: 371-378 - 2016
- [c2]Kailong Liu, Kang Li, Zhile Yang, Cheng Zhang, Jing Deng:
Battery optimal charging strategy based on a coupled thermoelectric model. CEC 2016: 5084-5091 - [c1]Kailong Liu, Kang Li, Jianhua Zhang, Mingming Lin:
Modeling of Organic Rankine Cycle for waste heat recovery using RBF neural networks. SSCI 2016: 1-8
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