Article
Energy & Fuels
Pierre Tsafack, Suh Elvice Fru, Aloh Vanissa Nghemachi, Emmanuel Tanyi
Summary: The effect of high constant charging current rates on energy efficiency in lead acid batteries is investigated in this study. A Constant Current Circuit (CCC) capable of charging the battery at varying current rates was built and used for experiments. The results were compared with those of traditional charge controllers (TCC) and the variations in electrolyte temperature were also monitored.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Khalid Ziat, Hasna Louahlia, Rafaele Petrone, Hamid Gualous, Pierre Schaetzel
Summary: This study presents an experimental investigation on the operating temperature and surface heat generation of Li-ion batteries. The results show that reversible heat generation strongly affects temperature distribution, while irreversible heat generation peaks at SOC values higher than 80%. Electrode temperature is considered as the maximum battery temperature and a key factor in analyzing battery thermal behavior.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Energy & Fuels
Yuanyuan Li, Daniel-Ioan Stroe, Yuhua Cheng, Hanmin Sheng, Xin Sui, Remus Teodorescu
Summary: This study extracts health indicators from battery current, voltage, and temperature data based on laboratory measured experimental data to improve the accuracy in battery health estimation. Grey relation analysis quantifies the correlation between health indicators and battery capacity degradation, showing that most health indicators are closely related to battery heath, with correlation degree values mostly above 90%.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Engineering, Multidisciplinary
Mohammad Faisal, M. A. Hannan, Pin Jern Ker, Molla S. Hossain Lipu, Mohammad Nasir Uddin
Summary: This article presents the application of fuzzy-based charging-discharging control technique in lithium-ion battery storage in microgrid. The research shows that the fuzzy controller is simpler, faster, and more effective in controlling the battery charging and discharging behavior compared to other controlling techniques.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2021)
Article
Energy & Fuels
Amirhosein Sarchami, Mehrdad Kiani, Mohammad Najafi, Ehsan Houshfar
Summary: Liquid-cooled systems effectively manage the temperature of LIB packs during discharge/charge. This study proposes an innovative active cooling system using AgO nanofluid and copper mold for controlling the heat generated by 21700-format lithium-ion batteries. The effects of charge/discharge rates, AgO nanoparticle volume fractions, coolant inflow velocity, and inlet liquid temperature on the thermal efficiency of the LIB pack are comprehensively analyzed. The results show that adding silver-oxide nanoparticles to the cooling system significantly decreases the maximum temperature and temperature dissimilarity of the batteries, and increasing the inflow coolant velocity and inlet liquid temperature further affects the temperature of the batteries.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Automation & Control Systems
Zhixing Yan, Jie Li, Shikai Xu, Ningrui Yang, Jun Zeng, Junfeng Liu, Weibin Wu, Renjun Hu, Haixia Qi
Summary: A ripple-free bidirectional dc-dc converter is proposed for battery charging/discharging application. The converter achieves zero current ripple on the battery side using two-phase interleaving technology, and effectively achieves high voltage conversion ratio and reduced voltage stresses of switches through series connection. The control variables can be decoupled with fixed duty cycle determined by battery side voltage and monotonously regulated transfer power by phase-shift angle. Theoretical derivation shows soft switching in all switches can be achieved with proper parameter design. Experimental verification of a 40-60V/400V 1-kW prototype demonstrates the merits of the proposed converter.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Thermodynamics
Chunsheng Hu, Liang Ma, Shanshan Guo, Gangsheng Guo, Zhiqiang Han
Summary: This paper proposes a method for estimating the state of charge (SoC) of LiFePO4 batteries during the charging process using a deep neural network (DNN). Battery data collected from different charging protocols are used to train the DNN model. The developed DNN can accurately estimate the battery's SoC during charging and can be used to calculate the SoC during discharging. Experimental results show that the maximum error and root mean square error of the SoC estimation using DNN are within an acceptable range.
Article
Energy & Fuels
F. Hipolito, C. A. Vandet, J. Rich
Summary: The increasing interest in electric vehicle (EV) charging situation has led to the development of models that approximate the distribution of State-of-Charge (SoC) levels for EVs. These models help understand charging needs and provide crucial information for vehicle-to-grid (V2G) applications. The study suggests that a full electrification of the vehicle fleet could stress the power grid but also offers potential for deploying V2G as a mechanism to dampen high-demand effects.
Article
Physics, Multidisciplinary
Kai Xu, Han-Jie Zhu, Hao Zhu, Guo-Feng Zhang, Wu-Ming Liu
Summary: Improving the charging and self-discharging processes is crucial for achieving high-performance quantum batteries. This study investigates the effects of composite environments on the charging and self-discharging processes of a quantum battery. The results show that increasing two-mode coupling enhances charging performance and suppresses self-discharging, while the memory effect of the reservoir in the composite environment is found to be unfavorable to the charging process. These findings have implications for the development of high-performance quantum batteries in complex environmental noise.
FRONTIERS OF PHYSICS
(2023)
Article
Chemistry, Physical
Jinpeng Tian, Rui Xiong, Weixiang Shen, Jiahuan Lu, Fengchun Sun
Summary: Accurately monitoring battery states is crucial for developing intelligent battery management systems. This study presents a flexible method that can estimate both maximum and remaining capacities using only short pieces of charging data, addressing the challenges of state of health and state of charge estimation. Experimental results demonstrate that the proposed method achieves reliable estimation on different types of batteries.
ENERGY STORAGE MATERIALS
(2022)
Article
Chemistry, Physical
Chi-Yuan Lee, Chia-Hung Chen, Chin-Yuan Yang, Wan-Ting Chen
Summary: The proton battery has opened up a new research direction for fuel cell and energy storage technologies. However, there are still issues of leakage and unstable power generation. Existing measurement methods are limited in accurately and simultaneously measuring the multiple important physical parameters inside the proton battery stack. This study utilizes MEMS technology to develop a micro oxygen sensor and integrates a six-in-one microsensor to improve sensor output and enable the development of a flexible seven-in-one microsensor.
Article
Energy & Fuels
Wieslaw Madej, Andrzej Wojciechowski
Summary: This article focuses on the critical issue of power source selection in electronic devices, especially for portable devices operating in varying environmental conditions. It discusses the characteristics and risks of lithium iron phosphate (LiFePO4) batteries, as well as the impact of initial charge level differences on cell damage risk in battery packs.
Article
Energy & Fuels
Guangfeng Wang, Naxin Cui, Changlong Li, Zhongrui Cui, Haitao Yuan
Summary: This paper proposes a method for estimating the state of health (SOH) of lithium-ion batteries based on incremental capacity analysis, considering the influence of charging/discharging rates for more accurate estimation. Additionally, a method for quickly obtaining a smooth IC curve is developed, enabling online processing of high-frequency sampling data. Validation results show that the SOH estimation errors are within 3% for batteries at different aging levels.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Green & Sustainable Science & Technology
Sumeet Kumar Dubey, K. Ravi Kumar
Summary: This study provides a detailed analysis of the energy absorption and desorption of a metal hydride suitable for high temperature in a dual bed metal hydride-based thermal energy storage system. The effects of the number of heat transfer fluid tubes and different aspect ratio geometry on the energy absorption characteristics and heat transfer phenomenon are studied. The outcomes of this study are crucial for the design of metal hydride-based thermochemical energy storage systems for process heating and power generation.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Energy & Fuels
Xiaohang Li, Xin Yin, Zhongbei Tian, Xinyu Jiang, Lin Jiang, Jeremy Smith
Summary: This study proposes a multi-layer SoH balancing control method to extend the cycle life of battery-based energy storage systems (BESS) by utilizing active equalization circuits for energy exchange between cells. The effectiveness of the proposed method is verified through a case study, showing significant improvement in cycle life compared to other balancing methods.
FRONTIERS IN ENERGY RESEARCH
(2022)
Editorial Material
Automation & Control Systems
X. Hu, S. Onori, D. A. Howey, Z. Li, C. Zou
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2020)
Article
Automation & Control Systems
Quan Ouyang, Weiji Han, Changfu Zou, Guotuan Xu, Zhisheng Wang
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2020)
Article
Engineering, Electrical & Electronic
Weiji Han, Torsten Wik, Anton Kersten, Guangzhong Dong, Changfu Zou
IEEE INDUSTRIAL ELECTRONICS MAGAZINE
(2020)
Article
Automation & Control Systems
Yang Li, Binyu Xiong, Don Mahinda Vilathgamuwa, Zhongbao Wei, Changjun Xie, Changfu Zou
Summary: This article proposes a novel model-based estimator for the distributed electrochemical states of lithium-ion batteries. A reduced-order battery model is obtained through systematic simplifications of a high-order electrochemical-thermal coupled model, capturing local state dynamics inside the battery. The constrained ensemble Kalman filter (EnKF) based on a physics-based equivalent circuit model is designed to detect internal variables and address slow convergence issues.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Automation & Control Systems
Guangzhong Dong, Fangfang Yang, Kwok-Leung Tsui, Changfu Zou
Summary: The article presents a method for adjusting the state of charge of cells in a battery pack to the same level using an A-star algorithm for efficient SOC equalization. Experimental results show that the proposed observer has an error of less than 2%, and the A-star algorithm can reduce balancing time and energy loss compared to the mean-difference-average method.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Energy & Fuels
Yang Li, Mahinda Vilathgamuwa, Evelina Wikner, Zhongbao Wei, Xinan Zhang, Torbjorn Thiringer, Torsten Wik, Changfu Zou
Summary: This paper introduces a new fast charging strategy for Li-ion batteries, utilizing the ETKF to estimate battery states and a PI control protocol based on health and safety considerations. The proposed controller achieves close to optimal charging time and trajectory with reduced computational cost compared to other prevalent alternatives.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2021)
Article
Automation & Control Systems
Guangzhong Dong, Weiji Han, Yujie Wang
Summary: Battery prognostics and health management are crucial for lithium-ion batteries in electric vehicles. This article presents a probabilistic method for battery degradation modeling and health prognosis based on dynamic Bayesian network (DBN). Experimental tests show that the proposed methods can provide accurate and reliable battery state-of-health estimation and remaining useful life prediction.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Automation & Control Systems
Weiji Han, Anton Kersten, Changfu Zou, Torsten Wik, Xiaoliang Huang, Guangzhong Dong
Summary: This article proposes an analytical method to estimate the maximum switch current and its upper limit for reconfigurable battery systems (RBSs), and verifies the method with an RBS prototype based on H-bridges. The proposed method, relying only on resistances of batteries and switches, is more efficient for practical RBS design.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Weiji Han, Faisal Altaf, Changfu Zou, Torsten Wik
Summary: In battery-powered applications, estimating the maximum allowed current/power of the battery system, known as the system's state of power (SoP), is crucial. The SoP is influenced by various factors, including battery state of health, state of charge, temperature, and imbalances in multi-battery systems. Analyzing the sensitivities of these factors is important for selecting the right components and connection structure during system design and for predicting SoP changes for effective power control.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Article
Engineering, Electrical & Electronic
Yang Li, Torsten Wik, Changjun Xie, Yicun Huang, Binyu Xiong, Jinrui Tang, Changfu Zou
Summary: Considered as one of the ultimate energy storage technologies for electrified transportation, all-solid-state batteries (ASSBs) have attracted immense attention due to their superior performance. This study establishes a control-oriented modeling framework by simplifying rigorous partial differential equations models, and develops computationally efficient and high-fidelity reduced-order models (ROMs) for advanced control design in ASSB intelligent management systems.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Article
Engineering, Electrical & Electronic
Weiji Han, Faisal Altaf, Changfu Zou, Torsten Wik
Summary: In this paper, a system-model-based state of power (SoP) prediction method for battery systems is proposed to address the challenge of predicting the SoP of multi-battery systems. Tests show that the proposed method outperforms the commonly applied cell-SoP-based methods in providing more accurate and reliable predictions.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Article
Engineering, Electrical & Electronic
Yang Li, Dulmini Karunathilake, D. Mahinda Vilathgamuwa, Yateendra Mishra, Troy W. Farrell, San Shing Choi, Changfu Zou
IEEE INDUSTRIAL ELECTRONICS MAGAZINE
(2022)
