Article
Automation & Control Systems
Chong Hu, Haibo Liu, Yan Ji
Summary: This article aims to design an effective model and optimization method to describe and analyze the operating characteristics of the lithium-ion battery based on online measurement data. By exploiting the memory superiorities of the fractional-order, the fractional-order controlled autoregressive model is derived, which includes the electrochemical impedance spectroscopy and the n-RC equivalent circuit model. The approach designs a new gradient direction and fully utilizes the data from the lithium-ion battery by adding a suitable weighted factor. The experimental simulation result shows the performance of the proposed algorithms.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Energy & Fuels
Lili Xia, Shunli Wang, Chunmei Yu, Yongcun Fan, Bowen Li, YanXin Xie
Summary: Accurate prediction of remaining mileage for electric vehicles is still a challenge. This paper proposes a novel fusion equivalent-circuit model of lithium-ion batteries considering the influence of temperature to obtain a high precision mathematical description and state parameters. An adaptive noise correction-dual extended Kalman filtering algorithm is adopted for the estimation of state-of-energy and state-of-charge, solving the noise influence of Kalman filtering. Experimental results show that the proposed method achieves estimation errors within 1.83% and 1.92% at different working temperatures and conditions, proving the efficiency of the co-estimation method.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Automation & Control Systems
Kandasamy Varatharajalu, Mathankumar Manoharan, Thamil Selvi C. Palanichamy, Sivaranjani Subramani
Summary: This manuscript proposes a hybrid method, WSO-HDLNN, for measuring the battery's dynamic electrical response as it is compressed by an external force. The proposed method aims to reduce the battery-voltage error by combining the War Strategy Optimization algorithm and Hierarchical Deep Learning Neural Network. The results show that the proposed method outperforms existing approaches in terms of computation time and error.
Article
Chemistry, Physical
Alan G. Li, Karthik Mayilvahanan, Alan C. West, Matthias Preindl
Summary: The DNRC model utilizes a novel physics-based diffusion component and N resistor-capacitor pairs to accurately characterize internal resistance and diffusion overpotentials of batteries in the time domain. Experimental validation shows an average absolute percent error of only 0.3% under different charge-discharge states, providing a new basis for real-time estimation and degradation reduction or diagnosis in battery management systems.
JOURNAL OF POWER SOURCES
(2021)
Article
Automation & Control Systems
Ruohan Guo, Weixiang Shen
Summary: This article proposes an IA-MAFF-RLS method to identify model parameters of lithium-ion batteries in electric vehicles. The method utilizes information analysis and adaptive strategies to accurately identify the parameters and avoid accuracy loss in model transformation.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Chemistry, Physical
Ming-Ying Zhou, Jian-Bang Zhang, Chi-Jyun Ko, Kuo-Ching Chen
Summary: In this study, a time-saving approach for measuring the open-circuit voltage (OCV) of a battery is proposed. By using a simplified first-order RC circuit model, the OCV at each state of charge (SOC) can be computed without the need for complete voltage relaxation information. Experimental results demonstrate that this approach significantly reduces the measurement time (usually less than 6 minutes) while maintaining high accuracy (usually less than 3 mV) compared to traditional methods.
JOURNAL OF POWER SOURCES
(2023)
Article
Energy & Fuels
Shichun Yang, Sida Zhou, Xinan Zhou, Yu Lu, Xinhua Liu, Yang Hua, Yuwei Pan, Xiaoyu Yan, Lingyun Xiao, Xiaoxin Tang, Panpan Hu
Summary: This article proposes a coupled diffusion-equivalent circuit model based on simplified electrochemical theories for all-climate and multi-conditional battery modeling. The simplex sphereradial particle filter is introduced for precise estimation of state of charge. Experimental results demonstrate the effectiveness and precision of the proposed method, with a maximum error of no more than 3% for all-climate conditions and large depth of discharging. The proposed method shows great potential for accurate and robust online state of charge estimation, and for future promotion of energy storage systems or remote cloud-controlling systems.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Chemistry, Physical
Xiao Hua, Cheng Zhang, Gregory Offer
Summary: This study introduces a novel parameter identification method and modified equivalent circuit model for lithium ion batteries, showing significant improvements in accuracy during drive cycle and constant current load validations for a large format lithium iron phosphate prismatic cell. The modified ECM considers switching RC network values for each phase, resulting in better accuracy especially at low state-of-charge for all lithium ion batteries. Training different characterization tests and experimental data across a complete State-of-Charge (SoC) and temperature range enables a smooth transition between identified parameters, leading to an improved model accuracy compared to conventional techniques.
JOURNAL OF POWER SOURCES
(2021)
Article
Energy & Fuels
Jiani Shen, Qiankun Wang, Guangjin Zhao, Zifeng Ma, Yijun He
Summary: The study proposes a joint moving horizon estimation approach to tackle measurement uncertainty in lithium-ion battery SOC estimation. Results demonstrate that the joint-MHE method effectively suppresses uncertainties in measurements, improving SOC estimation accuracy in the presence of various uncertainty sources.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Chemistry, Physical
Changlong Li, Naxin Cui, Zhongrui Cui, Chunyu Wang, Chenghui Zhang
Summary: This study proposes a novel equivalent circuit model that considers the effect of nonlinear solid phase diffusion in lithium-ion batteries (LIBs). The model is validated through experiments and shows robustness and superior performance compared to conventional models. This model has important applications in battery management.
JOURNAL OF POWER SOURCES
(2022)
Article
Thermodynamics
Zhicheng Xu, Jun Wang, Peter D. Lund, Yaoming Zhang
Summary: An accurate estimation of the state of charge (SOC) and state of health (SOH) of lithium-ion batteries is crucial for their management system, as well as for the safety and performance of electric vehicles and energy storage systems. A model-based method utilizing an equivalent circuit model and a minimalist electrochemical model has been proposed to simultaneously assess SOC and SOH, showing promising results with a mean error of around 2% for predicting battery capacity. This co-estimation method proves to be effective in real-time tracking of battery health and state of charge.
Article
Chemistry, Physical
Hao Cui, Dongsheng Ren, Mengchao Yi, Sixuan Hou, Kai Yang, Hongmei Liang, Xuning Feng, Xuebing Han, Youzhi Song, Li Wang, Xiangming He
Summary: The wetting process is crucial in battery production efficiency and quality, especially for large-format or high-energy density lithium-ion batteries. This study proposes a method for in-situ monitoring of the open circuit voltage during electrolyte filling, providing valuable information about the process.
Article
Engineering, Aerospace
Min Young Yoo, Jung Heon Lee, Joo-Ho Choi, Jae Sung Huh, Woosuk Sung
Summary: This paper presents a framework for accurately estimating SOC and current sensor bias in a hybrid propulsion urban air mobility (UAM) system. Realistic test profiles reflecting actual operational scenarios for the UAM are used to model the battery and validate the state estimator. The framework ensures reliable state estimation, even during transitions between operational modes, by concurrently estimating and correcting the current sensor bias.
Article
Energy & Fuels
Jianfeng Wang, Yongkai Jia, Na Yang, Yanbing Lu, Mengyu Shi, Xutong Ren, Dongchen Lu
Summary: The study explores the factors affecting the accuracy of the equivalent circuit model in electric vehicle battery management systems (BMS) and designs experimental procedures to identify and optimize the model parameters. By utilizing polynomial fitting and sensitivity analysis, the study investigates the impact of three model parameters on different performance aspects under different state of charge (SOC). This study provides a foundation for battery modeling and model parameter identification, and proposes an optimization parameter as an indicator.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Zhimin Xi, Rui Wang, Yuhong Fu, Chris Mi
Summary: This paper proposes a time-delayed recurrent neural network for lithium ion battery modeling and SOC estimation, and analyzes its performance. It is found that overexcited neurons may cause poor performance of the neural network.
Article
Chemistry, Multidisciplinary
Liqi Sun, Yingying Xie, Xiao-Zhen Liao, Hong Wang, Guoqiang Tan, Zonghai Chen, Yang Ren, Jihyeon Gim, Wan Tang, Yu-Shi He, Khalil Amine, Zi-Feng Ma
Review
Chemistry, Physical
Jiangfeng Qian, Chen Wu, Yuliang Cao, Zifeng Ma, Yunhui Huang, Xinping Ai, Hanxi Yang
ADVANCED ENERGY MATERIALS
(2018)
Article
Engineering, Electrical & Electronic
Jia-Ni Shen, Jia-Jin Shen, Yi-Jun He, Zi-Feng Ma
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2019)
Article
Chemistry, Physical
Suli Chen, Fan Feng, Yimei Yin, Haiying Che, Xiao-Zhen Liao, Zi-Feng Ma
JOURNAL OF POWER SOURCES
(2018)
Article
Chemistry, Multidisciplinary
Chunrong Ma, Xiang Li, Changjian Deng, Yan-Yan Hu, Sungsik Lee, Xiao-Zhen Liao, Yu-Shi He, Zi-Feng Ma, Hui Xiong
Correction
Chemistry, Multidisciplinary
Chunrong Ma, Xiang Li, Changjian Deng, Yan-Yan Hu, Sungsik Lee, Xiao-Zhen Liao, Yu-Shi He, Zi-Feng Ma, Hui Xiong
Article
Electrochemistry
Heyun Gu, Guangjin Wang, Cuicui Zhu, Ye Hu, Xinming Zhang, Wen Wen, Xiaowei Yang, Baofeng Wang, Xiang Gao, Xiaoli Zhan, Jingkun Li, Zi-Feng Ma, Qinggang He
ELECTROCHIMICA ACTA
(2019)
Article
Chemistry, Physical
Hui-Juan Zhang, Sunwu Yao, Jing Geng, Zi-Feng Ma, Junhe Yang
JOURNAL OF COLLOID AND INTERFACE SCIENCE
(2019)
Article
Chemistry, Physical
Yingying Xie, Han Gao, Jihyeon Gim, Anh T. Ngo, Zi-Feng Ma, Zonghai Chen
JOURNAL OF PHYSICAL CHEMISTRY LETTERS
(2019)
Article
Chemistry, Physical
Min Guo, Jichao Wang, Huanglin Dou, Guohua Gao, Shengping Wang, Jiahe Wang, Ziwei Xiao, Guangming Wu, Xiaowei Yang, Zi-Feng Ma
Article
Nanoscience & Nanotechnology
Yuantao Yan, Zhixin Xu, Congcong Liu, Huanglin Dou, Jingjiang Wei, Xiaoli Zhao, Jingjing Ma, Qiang Dong, Haisong Xu, Yu-shi He, Zi-Feng Ma, Xiaowei Yang
ACS APPLIED MATERIALS & INTERFACES
(2019)
Article
Chemistry, Physical
Suli Chen, Fan Feng, Yimei Yin, Xiaozhen Lizo, Zifeng Ma
ENERGY STORAGE MATERIALS
(2019)
Article
Electrochemistry
Pengcheng Zhang, Tao Yuan, Yuepeng Pang, Chengxin Peng, Junhe Yang, Zi-Feng Ma, Shiyou Zheng
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2019)
Article
Nanoscience & Nanotechnology
Zhihong Lei, Jiulin Wang, Jun Yang, Yanna Nuli, Zifeng Ma
ACS APPLIED MATERIALS & INTERFACES
(2018)
Article
Chemistry, Physical
Tao Yuan, Jiafeng Ruan, Chengxin Peng, Hao Sun, Yuepeng Pang, Junhe Yang, Zi-Feng Ma, Shiyou Zheng
ENERGY STORAGE MATERIALS
(2018)