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Charging Pattern Optimization for Lithium-Ion Batteries With an Electrothermal-Aging Model | IEEE Journals & Magazine | IEEE Xplore

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


Abstract:

This paper applies advanced battery modeling and multiobjective constrained nonlinear optimization techniques to derive suitable charging patterns for lithium-ion batteri...Show More

Abstract:

This paper applies advanced battery modeling and multiobjective constrained nonlinear optimization techniques to derive suitable charging patterns for lithium-ion batteries. Three important yet competing charging objectives, including battery health, charging time, and energy conversion efficiency, are taken into account simultaneously. These optimization objectives are first subject to a high-fidelity battery model that is synthesized from recently developed individual electrical, thermal, and aging models. The coupling relationship and multiple timescales among different model dynamics are identified. Furthermore, constraints are imposed explicitly on the current, voltage, state-of-charge, and temperature. Such a complex charging problem is solved by using an ensemble multiobjective biogeography-based optimization approach. As a result, two charging patterns, namely the constant current-constant voltage (CC-CV) and multistage CC-CV, are optimized to balance various combinations of charging objectives. Different tradeoffs and sensitive elements are compared and analyzed based on the Pareto frontiers. Illustrative results demonstrate that the proposed strategy can effectively offer feasible health-conscious charging with desirable tradeoffs among charging speed and energy conversion efficiency under different demand priorities.
Published in: IEEE Transactions on Industrial Informatics ( Volume: 14, Issue: 12, December 2018)
Page(s): 5463 - 5474
Date of Publication: 22 August 2018

ISSN Information:

Funding Agency:

Author image of Kailong Liu
Warwick Manufacturing Group, University of Warwick, Coventry, U.K.
Kailong Liu (M’18) received the B.Eng. degree in electrical engineering and the M.Sc. degree in control theory and control engineering from Shanghai University, Shanghai, China, and the Ph.D. degree in electrical engineering from the Energy, Power and Intelligent Control Group, Queen's University Belfast, Belfast, U.K., in 2011, 2014, and 2018, respectively.
He was a Visiting Student Researcher with the Tsinghua Univers...Show More
Kailong Liu (M’18) received the B.Eng. degree in electrical engineering and the M.Sc. degree in control theory and control engineering from Shanghai University, Shanghai, China, and the Ph.D. degree in electrical engineering from the Energy, Power and Intelligent Control Group, Queen's University Belfast, Belfast, U.K., in 2011, 2014, and 2018, respectively.
He was a Visiting Student Researcher with the Tsinghua Univers...View more
Author image of Changfu Zou
Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
Changfu Zou (M’16) received the B.E. degree in automotive engineering from the Beijing Institute of Technology, Beijing, China, in 2011, and the Ph.D. degree in automation and control engineering with the Department of Mechanical Engineering, The University of Melbourne, Melbourne, VIC, Australia, in 2017.
He was a Visiting Student Researcher with the Energy, Controls, and Applications Lab, University of California, Be...Show More
Changfu Zou (M’16) received the B.E. degree in automotive engineering from the Beijing Institute of Technology, Beijing, China, in 2011, and the Ph.D. degree in automation and control engineering with the Department of Mechanical Engineering, The University of Melbourne, Melbourne, VIC, Australia, in 2017.
He was a Visiting Student Researcher with the Energy, Controls, and Applications Lab, University of California, Be...View more
Author image of Kang Li
School of Electronic and Electrical Engineering, University of Leeds, Leeds, U.K.
Kang Li (M’05–SM’11) received the B.Sc. degree in industrial automation from Xiangtan University, Hunan, China, in 1989, the M.Sc. degree in control theory and applications from the Harbin Institute of Technology, Harbin, China, in 1992, and the Ph.D. degree in control theory and applications from Shanghai Jiaotong University, Shanghai, China, in 1995. He also received the D.Sc. degree in science from Queen's Universi...Show More
Kang Li (M’05–SM’11) received the B.Sc. degree in industrial automation from Xiangtan University, Hunan, China, in 1989, the M.Sc. degree in control theory and applications from the Harbin Institute of Technology, Harbin, China, in 1992, and the Ph.D. degree in control theory and applications from Shanghai Jiaotong University, Shanghai, China, in 1995. He also received the D.Sc. degree in science from Queen's Universi...View more
Author image of Torsten Wik
Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
Torsten Wik received the M.Sc. degree in chemical engineering (majoring in applied mathematics), the Licentiate of Engineering degree in control engineering, the Ph.D. degree in environmental sciences (majoring in automatic control), and the Docent degree in electrical engineering from the Chalmers University of Technology, Gothenburg, Sweden, in 1994, 1996, 1999, and 2004, respectively.
From 2005 to 2007 he worked as a...Show More
Torsten Wik received the M.Sc. degree in chemical engineering (majoring in applied mathematics), the Licentiate of Engineering degree in control engineering, the Ph.D. degree in environmental sciences (majoring in automatic control), and the Docent degree in electrical engineering from the Chalmers University of Technology, Gothenburg, Sweden, in 1994, 1996, 1999, and 2004, respectively.
From 2005 to 2007 he worked as a...View more

I. Introduction

Lithium-ion (Li-ion) batteries have been preferably exploited as energy and power sources to drive electric vehicles (EVs) due to their performance, financial, and environmental superiorities over other candidates, like fuel cells, supercapacitors, lead-acid batteries, and nickel-metal-hydride batteries [1], [2]. However, if compared to internal combustion engines associated with fossil fuels, Li-ion batteries are still inferior in the upfront cost, “refueling” time, driving range, and service life [3]. Although innovations in battery technologies in materials and chemistry may solve the problems in the long run, mass deployment of EVs into the current market requires an immediate solution [4], [5]. This intuitively motivates the development of intelligent battery management systems, aiming to extract the full potential of batteries.

Author image of Kailong Liu
Warwick Manufacturing Group, University of Warwick, Coventry, U.K.
Kailong Liu (M’18) received the B.Eng. degree in electrical engineering and the M.Sc. degree in control theory and control engineering from Shanghai University, Shanghai, China, and the Ph.D. degree in electrical engineering from the Energy, Power and Intelligent Control Group, Queen's University Belfast, Belfast, U.K., in 2011, 2014, and 2018, respectively.
He was a Visiting Student Researcher with the Tsinghua University and the North China Electric Power University, Beijing, China, in 2016. He is currently a Research Fellow with the Warwick Manufacturing Group, University of Warwick, Coventry, U.K. His research interests include modeling, optimization, and control with applications to electrical/hybrid vehicles, energy storage, and battery management system.
Dr. Liu was the Student Chair of the IEEE QUB Student Branch and a recipient of awards such as EPSRC Scholarship, Santander International Scholarship, and QUB ESM International Scholarship.
Kailong Liu (M’18) received the B.Eng. degree in electrical engineering and the M.Sc. degree in control theory and control engineering from Shanghai University, Shanghai, China, and the Ph.D. degree in electrical engineering from the Energy, Power and Intelligent Control Group, Queen's University Belfast, Belfast, U.K., in 2011, 2014, and 2018, respectively.
He was a Visiting Student Researcher with the Tsinghua University and the North China Electric Power University, Beijing, China, in 2016. He is currently a Research Fellow with the Warwick Manufacturing Group, University of Warwick, Coventry, U.K. His research interests include modeling, optimization, and control with applications to electrical/hybrid vehicles, energy storage, and battery management system.
Dr. Liu was the Student Chair of the IEEE QUB Student Branch and a recipient of awards such as EPSRC Scholarship, Santander International Scholarship, and QUB ESM International Scholarship.View more
Author image of Changfu Zou
Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
Changfu Zou (M’16) received the B.E. degree in automotive engineering from the Beijing Institute of Technology, Beijing, China, in 2011, and the Ph.D. degree in automation and control engineering with the Department of Mechanical Engineering, The University of Melbourne, Melbourne, VIC, Australia, in 2017.
He was a Visiting Student Researcher with the Energy, Controls, and Applications Lab, University of California, Berkeley, CA, USA, between 2015 and 2016. He is currently a Postdoctoral Fellow with the Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden. His current research projects are supported by Swedish Energy Agency and Volvo Cars. His research interests include modeling, state/parameter estimation, and control with application to energy storage systems and electric vehicles.
Dr. Zou was a recipient of awards such as Excellent Graduate of Beijing, Melbourne Research Scholarship, Scholarship of National Information and Communications Technology Australia, and Engineering & IT Melbourne Abroad Travel Scholarships.
Changfu Zou (M’16) received the B.E. degree in automotive engineering from the Beijing Institute of Technology, Beijing, China, in 2011, and the Ph.D. degree in automation and control engineering with the Department of Mechanical Engineering, The University of Melbourne, Melbourne, VIC, Australia, in 2017.
He was a Visiting Student Researcher with the Energy, Controls, and Applications Lab, University of California, Berkeley, CA, USA, between 2015 and 2016. He is currently a Postdoctoral Fellow with the Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden. His current research projects are supported by Swedish Energy Agency and Volvo Cars. His research interests include modeling, state/parameter estimation, and control with application to energy storage systems and electric vehicles.
Dr. Zou was a recipient of awards such as Excellent Graduate of Beijing, Melbourne Research Scholarship, Scholarship of National Information and Communications Technology Australia, and Engineering & IT Melbourne Abroad Travel Scholarships.View more
Author image of Kang Li
School of Electronic and Electrical Engineering, University of Leeds, Leeds, U.K.
Kang Li (M’05–SM’11) received the B.Sc. degree in industrial automation from Xiangtan University, Hunan, China, in 1989, the M.Sc. degree in control theory and applications from the Harbin Institute of Technology, Harbin, China, in 1992, and the Ph.D. degree in control theory and applications from Shanghai Jiaotong University, Shanghai, China, in 1995. He also received the D.Sc. degree in science from Queen's University Belfast, Belfast, U.K., in 2015.
Between 1995 and 2018, he was a Research Fellow with Shanghai Jiaotong University, Delft University of Technology, and Queen's University Belfast. Between 2002 and 2018, he was a Lecturer, a Senior Lecturer (2007), a Reader (2009) and a Chair Professor (2011) with the School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, U.K. He is currently the Chair of Smart Energy Systems with the University of Leeds, Leeds, U.K. His research interests cover nonlinear system modeling, identification, and control, and bio-inspired computational intelligence, with applications to energy and power systems, smart grid, electric vehicles, and energy management in industrial sectors. He has authored/coauthored over 100 journal publications, and edited/coedited over 10 conference proceedings.
Dr. Li chairs the IEEE UKRI Control and Communication Ireland Chapter, and was the Secretary of the IEEE UK and Ireland Section. He is a Visiting Professor of Queen's University Belfast, Shanghai Jiaotong University, Tianjin University, Chongqing University, Shanghai University, Hangzhou Dianzi University, and Ningbo Institute of Technology of Zhejiang University. Previously he held visiting fellowship or visiting professorship at the National University of Singapore, University of Iowa, New Jersey Institute of Technology, Tsinghua University, Technical University of Bari, Taranto, and Harbin Institute of Technology.
Kang Li (M’05–SM’11) received the B.Sc. degree in industrial automation from Xiangtan University, Hunan, China, in 1989, the M.Sc. degree in control theory and applications from the Harbin Institute of Technology, Harbin, China, in 1992, and the Ph.D. degree in control theory and applications from Shanghai Jiaotong University, Shanghai, China, in 1995. He also received the D.Sc. degree in science from Queen's University Belfast, Belfast, U.K., in 2015.
Between 1995 and 2018, he was a Research Fellow with Shanghai Jiaotong University, Delft University of Technology, and Queen's University Belfast. Between 2002 and 2018, he was a Lecturer, a Senior Lecturer (2007), a Reader (2009) and a Chair Professor (2011) with the School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, U.K. He is currently the Chair of Smart Energy Systems with the University of Leeds, Leeds, U.K. His research interests cover nonlinear system modeling, identification, and control, and bio-inspired computational intelligence, with applications to energy and power systems, smart grid, electric vehicles, and energy management in industrial sectors. He has authored/coauthored over 100 journal publications, and edited/coedited over 10 conference proceedings.
Dr. Li chairs the IEEE UKRI Control and Communication Ireland Chapter, and was the Secretary of the IEEE UK and Ireland Section. He is a Visiting Professor of Queen's University Belfast, Shanghai Jiaotong University, Tianjin University, Chongqing University, Shanghai University, Hangzhou Dianzi University, and Ningbo Institute of Technology of Zhejiang University. Previously he held visiting fellowship or visiting professorship at the National University of Singapore, University of Iowa, New Jersey Institute of Technology, Tsinghua University, Technical University of Bari, Taranto, and Harbin Institute of Technology.View more
Author image of Torsten Wik
Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
Torsten Wik received the M.Sc. degree in chemical engineering (majoring in applied mathematics), the Licentiate of Engineering degree in control engineering, the Ph.D. degree in environmental sciences (majoring in automatic control), and the Docent degree in electrical engineering from the Chalmers University of Technology, Gothenburg, Sweden, in 1994, 1996, 1999, and 2004, respectively.
From 2005 to 2007 he worked as a Senior Researcher with Volvo Technology, Gothenburg, Sweden, in control system design for combustion engine test cells, and combined reformer and fuel cells. He is a Professor and the Head in automatic control with the Department of Electrical Engineering, Chalmers University of Technology. His current research interests include optimal control, model reduction, and systems with model uncertainties, with applications to energy storage, environmental, and biological systems.
Prof. Wik serves as an Associate Editor for the Elsevier Control Engineering Practice.
Torsten Wik received the M.Sc. degree in chemical engineering (majoring in applied mathematics), the Licentiate of Engineering degree in control engineering, the Ph.D. degree in environmental sciences (majoring in automatic control), and the Docent degree in electrical engineering from the Chalmers University of Technology, Gothenburg, Sweden, in 1994, 1996, 1999, and 2004, respectively.
From 2005 to 2007 he worked as a Senior Researcher with Volvo Technology, Gothenburg, Sweden, in control system design for combustion engine test cells, and combined reformer and fuel cells. He is a Professor and the Head in automatic control with the Department of Electrical Engineering, Chalmers University of Technology. His current research interests include optimal control, model reduction, and systems with model uncertainties, with applications to energy storage, environmental, and biological systems.
Prof. Wik serves as an Associate Editor for the Elsevier Control Engineering Practice.View more
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