Kailong Liu

According to our database, Kailong Liu authored at least 30 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An Intelligent Preheating Approach Based on High-Gain Control for Lithium-Ion Batteries in Extremely Cold Environment.

Yunlong Shang, Guicheng Chen, Qiao Peng, Tao Zhu, Kailong Liu

IEEE Trans. Ind. Electron., May, 2024

A Health-Aware AC Heating Strategy With Lithium Plating Criterion for Batteries at Low Temperatures.

Yi Xie, Wei Li, Ziyou Song, Bin Chen, Kailong Liu, Rui Yang, Yangjun Zhang

IEEE Trans. Ind. Informatics, February, 2024

2023

Coestimation of SOC and Three-Dimensional SOT for Lithium-Ion Batteries Based on Distributed Spatial-Temporal Online Correction.

Yi Xie, Wei Li, Xiaosong Hu, Manh-Kien Tran, Satyam Panchal, Michael Fowler, Yangjun Zhang, Kailong Liu

IEEE Trans. Ind. Electron., June, 2023

An Internal Heating Strategy for Lithium-Ion Batteries Without Lithium Plating Based on Self-Adaptive Alternating Current Pulse.

Wei Li, Yi Xie, Xiaosong Hu, Manh-Kien Tran, Michael Fowler, Satyam Panchal, Jintao Zheng, Kailong Liu

IEEE Trans. Veh. Technol., May, 2023

Lithium-Ion Battery Calendar Health Prognostics Based on Knowledge-Data-Driven Attention.

Tianyu Hu, Huimin Ma, Kailong Liu, Hongbin Sun

IEEE Trans. Ind. Electron., 2023

Wind power regression prediction based on stacked LSTMs with attention mechanisms for evaluating technological improvement effects of wind turbines.

Lingxing Kong, Kailong Liu, Deyi Fu, Boyong Liu, Jingkai Ma, Huini Sun, Shuang Bai

J. Intell. Fuzzy Syst., 2023

Knowledge-Guided Data-Driven Model With Transfer Concept for Battery Calendar Ageing Trajectory Prediction.

Kailong Liu, Qiao Peng, Remus Teodorescu, Aoife M. Foley

IEEE CAA J. Autom. Sinica, 2023

A Physical-Data Fusion Framework for Lithium-ion Battery SOC Estimation.

Bingzhe Fu, Yihuan Li, Kailong Liu, Wei Lin

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

2022

A Transferred Recurrent Neural Network for Battery Calendar Health Prognostics of Energy-Transportation Systems.

Kailong Liu, Qiao Peng, Hongbin Sun, Minrui Fei, Huimin Ma, Tianyu Hu

IEEE Trans. Ind. Informatics, 2022

Self-Attention-Based Machine Theory of Mind for Electric Vehicle Charging Demand Forecast.

Tianyu Hu, Huimin Ma, Hao Liu, Hongbin Sun, Kailong Liu

IEEE Trans. Ind. Informatics, 2022

A Balancing Current Ratio Based State-of-Health Estimation Solution for Lithium-Ion Battery Pack.

Xiaopeng Tang, Furong Gao, Kailong Liu, Qi Liu, Aoife M. Foley

IEEE Trans. Ind. Electron., 2022

Co-Estimation of State-of-Charge and State-of- Health for Lithium-Ion Batteries Using an Enhanced Electrochemical Model.

Yizhao Gao, Kailong Liu, Chong Zhu, Xi Zhang, Dong Zhang

IEEE Trans. Ind. Electron., 2022

Towards Long Lifetime Battery: AI-Based Manufacturing and Management.

Kailong Liu, Zhongbao Wei, Chenghui Zhang, Yunlong Shang, Remus Teodorescu, Qing-Long Han

IEEE CAA J. Autom. Sinica, 2022

2021

A Data-Driven Approach With Uncertainty Quantification for Predicting Future Capacities and Remaining Useful Life of Lithium-ion Battery.

Kailong Liu, Yunlong Shang, Quan Ouyang, Widanalage Dhammika Widanage

IEEE Trans. Ind. Electron., 2021

Recovering large-scale battery aging dataset with machine learning.

Xiaopeng Tang, Kailong Liu, Kang Li, Widanalage Dhammika Widanage, Emma Kendrick, Furong Gao

Patterns, 2021

Feature Analyses and Modelling of Lithium-ion Batteries Manufacturing based on Random Forest Classification.

Kailong Liu, Xiaosong Hu, Huiyu Zhou, Lei Tong, Widanalage Dhammika Widanage, James Marco

CoRR, 2021

Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-ion Batteries.

Kailong Liu, Xiaosong Hu, Zhongbao Wei, Yi Li, Yan Jiang

CoRR, 2021

2020

Battery-Involved Energy Management for Hybrid Electric Bus Based on Expert-Assistance Deep Deterministic Policy Gradient Algorithm.

Jingda Wu, Zhongbao Wei, Kailong Liu, Zhongyi Quan, Yunwei Li

IEEE Trans. Veh. Technol., 2020

Automotive Battery Equalizers Based on Joint Switched-Capacitor and Buck-Boost Converters.

Kailong Liu, Zhile Yang, Xiaopeng Tang, Wenping Cao

IEEE Trans. Veh. Technol., 2020

A Sine-Wave Heating Circuit for Automotive Battery Self-Heating at Subzero Temperatures.

Yunlong Shang, Kailong Liu, Naxin Cui, Qi Zhang, Chenghui Zhang

IEEE Trans. Ind. Informatics, 2020

Optimal Charging Control for Lithium-Ion Battery Packs: A Distributed Average Tracking Approach.

Quan Ouyang, Zhisheng Wang, Kailong Liu, Guotuan Xu, Yue Li

IEEE Trans. Ind. Informatics, 2020

Gaussian Process Regression With Automatic Relevance Determination Kernel for Calendar Aging Prediction of Lithium-Ion Batteries.

Kailong Liu, Yi Li, Xiaosong Hu, Mattin Lucu, Widanalage Dhammika Widanage

IEEE Trans. Ind. Informatics, 2020

A novel competitive swarm optimized RBF neural network model for short-term solar power generation forecasting.

Zhile Yang, Monjur M. Mourshed, Kailong Liu, Xinzhi Xu, Shengzhong Feng

Neurocomputing, 2020

2019

A novel binary/real-valued pigeon-inspired optimization for economic/environment unit commitment with renewables and plug-in vehicles.

Zhile Yang, Kailong Liu, Jianping Fan, Yuanjun Guo, Qun Niu, Jianhua Zhang

Sci. China Inf. Sci., 2019

2018

Charging Pattern Optimization for Lithium-Ion Batteries With an Electrothermal-Aging Model.

Kailong Liu, Changfu Zou, Kang Li, Torsten Wik

IEEE Trans. Ind. Informatics, 2018

Data-Driven Hybrid Internal Temperature Estimation Approach for Battery Thermal Management.

Kailong Liu, Kang Li, Qiao Peng, Yuanjun Guo, Li Zhang

Complex., 2018

2017

Heuristic Based Terminal Iterative Learning Control of ISBM Reheating Processes.

Ziqi Yang, Zhile Yang, Kang Li, Wasif Naeem, Kailong Liu

Proceedings of the Intelligent Computing, Networked Control, and Their Engineering Applications, 2017

Optimal Battery Charging Strategy Based on Complex System Optimization.

Haiping Ma, Pengcheng You, Kailong Liu, Zhile Yang, Minrui Fei

Proceedings of the Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration, 2017

2016

Modeling of Organic Rankine Cycle for waste heat recovery using RBF neural networks.

Kailong Liu, Kang Li, Jianhua Zhang, Mingming Lin

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Battery optimal charging strategy based on a coupled thermoelectric model.

Kailong Liu, Kang Li, Zhile Yang, Cheng Zhang, Jing Deng

Proceedings of the IEEE Congress on Evolutionary Computation, 2016