Kailong Liu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 32

Top Topics

Energy Management

Iterative Learning

Gaussian Process

Top Venues

IEEE Trans. Ind. Informatics

IEEE Trans. Ind. Electron.

IEEE Trans. Veh. Technol.

IEEE CAA J. Autom. Sinica

Publications

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) (2024)
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) (2024)
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) (2024)
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) (2024)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
Bingzhe Fu, Yihuan Li, Kailong Liu, Wei Lin
A Physical-Data Fusion Framework for Lithium-ion Battery SOC Estimation. IECON (2023)
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) (2022)
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) (2022)
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) (2022)
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) (2022)
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) (2022)
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 (2021)
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) (2021)
Kailong Liu, Xiaosong Hu, Zhongbao Wei, Yi Li, Yan Jiang
Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-ion Batteries. CoRR (2021)
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) (2021)
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) (2020)
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) (2020)
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) (2020)
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) (2020)
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 (2020)
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) (2020)
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) (2019)
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) (2018)
Kailong Liu, Kang Li, Qiao Peng, Yuanjun Guo, Li Zhang
Data-Driven Hybrid Internal Temperature Estimation Approach for Battery Thermal Management. Complex. 2018 (2018)
Ziqi Yang, Zhile Yang, Kang Li, Wasif Naeem, Kailong Liu
Heuristic Based Terminal Iterative Learning Control of ISBM Reheating Processes. LSMS/ICSEE (2) (2017)
Haiping Ma, Pengcheng You, Kailong Liu, Zhile Yang, Minrui Fei
Optimal Battery Charging Strategy Based on Complex System Optimization. LSMS/ICSEE (3) (2017)
Kailong Liu, Kang Li, Jianhua Zhang, Mingming Lin
Modeling of Organic Rankine Cycle for waste heat recovery using RBF neural networks. SSCI (2016)
Kailong Liu, Kang Li, Zhile Yang, Cheng Zhang, Jing Deng
Battery optimal charging strategy based on a coupled thermoelectric model. CEC (2016)