Article
Energy & Fuels
Shichang Ma, Bingxiang Sun, Xiaojia Su, Weige Zhang, Haijun Ruan
Summary: The design of optimized charging strategies based on electrochemical models is crucial for the broader use of electric vehicles. Lithium plating on the anode surface, which is closely related to charging lifetime and battery safety, should not be ignored in charging strategy design. By using electrochemical models in combination with the lithium plating criterion, the maximum charging current that prevents lithium plating can be identified, facilitating accurate determination of model parameters. However, most current studies have not considered the influence of electrochemical parameters on characterizing variables for the lithium plating criterion. To improve the accuracy of the electrochemical model for the lithium plating reaction, a sensitivity analysis of different parameters was carried out, and the effect of temperature was also investigated.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Chemistry, Physical
Pilgun Oh, Jeongsik Yun, Jae Hong Choi, Gyutae Nam, Seohyeon Park, Tom James Embleton, Moonsu Yoon, Se Hun Joo, Su Hwan Kim, Haeseong Jang, Hyungsub Kim, Min Gyu Kim, Sang Kyu Kwak, Jaephil Cho
Summary: In this study, a secondary doping ion substitution method is proposed to improve the electrochemical reversibility of LCO materials for Li-ion batteries. The utilization of Na ions as functional dopants and Fe-ion substitution improves the capacity retention and cycling stability of LCO. This provides a new avenue for the manufacturing of layered cathode materials with a long cycle life.
ADVANCED ENERGY MATERIALS
(2023)
Article
Energy & Fuels
Zhenglu Shi, Jiazhu Xu, Min Wu, Linjun Zeng, Huizhen Zhang, Yang He, Chao Liu
Summary: The accuracy estimation of state-of-charge (SoC) is crucial for battery management system to ensure safe operation. A improved cubature Kalman filter method is introduced to enhance the precision and dependability of SoC estimation by reducing noise. The method includes constructing equivalent circuit model, identifying battery model parameters with adaptive forgetting factor bias compensation recursive least squares, and proposing an improved adaptive square root cubature Kalman filter (IASRCKF) for SoC estimation. Simulation results show that the proposed method significantly decreases the estimation error, with RMSE and MAE of 0.18% and 0.15% respectively. Compared to the ASRCKF approach, the RMSE and MAE can be reduced by 40% and 44.4% respectively. Robustness analyses demonstrate exceptional estimation capabilities under different conditions.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Chemistry, Physical
Lei Sheng, Zhendong Zhang, Lin Su, Hengyun Zhang, Hua Zhang, Yidong Fang, Kang Li, Wen Ye
Summary: This study proposes a new method to measure the thermophysical parameters of cylindrical lithium ion batteries, taking into account heat loss, and validates its effectiveness through experimentation. The results show that both the thermal conductivity and specific heat of the cells increase linearly with operating temperature, with temperature having a greater impact on specific heat than on thermal conductivity.
JOURNAL OF POWER SOURCES
(2021)
Article
Chemistry, Physical
Jian Wei, Di Liang, Yuxuan Ji, Bing Chen, Chao Jiang, Xueting Li
Summary: LiNi0.8Co0.1Mn0.1O2 (NCM811) is a cathode material for lithium-ion batteries with high energy density, but its commercial application has been hindered by the mixing phenomenon and side reactions during charging and discharging. Researchers have successfully improved its performance by coating the surface of NCM811 with Co3O4, resulting in higher specific capacity and cycle performance.
JOURNAL OF COLLOID AND INTERFACE SCIENCE
(2022)
Article
Energy & Fuels
Hanlei Sun, Dongfang Yang, Licheng Wang, Kai Wang
Summary: This paper proposes a new method for estimating the state of health (SOH) of lithium-ion batteries (LIBs) based on a directed acyclic graph (DAG) structure. The method combines incremental capacity analysis, empirical mode decomposition (EMD), and gated recurrent unit (GRU) for fitting. The experimental results show that the proposed method achieves high accuracy and generalization ability, simplifies the prediction process, and reduces subjective operations.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Electrochemistry
Ralph Nicolai Nasara, Wen Ma, Shota Tsujimoto, Yuta Inoue, Yuko Yokoyama, Yasuyuki Kondo, Kohei Miyazaki, Yuto Miyahara, Tomokazu Fukutsuka, Shih-kang Lin, Takeshi Abe
Summary: By coating a thin-film Li4Ti5O12 layer on a hard carbon ideal model electrode, this study successfully improved the performance and stability of hard carbon powder, reduced initial reversible capacity loss, and enhanced impedance stability.
ELECTROCHIMICA ACTA
(2021)
Article
Chemistry, Physical
Xiaohui Li, Shuaiwei Liu, Jiachao Yang, Zhenjiang He, Junchao Zheng, Yunjiao Li
Summary: Lithium-ion batteries (LIBs) are widely used but pose a great environmental hazard due to the various metal compounds they contain. Recycling LIBs through electrochemical methods is a low-cost and efficient approach that can greatly improve recycling efficiency while reducing reagent consumption and environmental hazards. This review provides a comprehensive summary of the application of electrochemical methods in the disposal of spent LIBs, including pretreatment, leaching, element separation, and regeneration. The main obstacles of electrochemical methods in recycling LIBs and their solutions are discussed, and a promising recovery process is proposed.
ENERGY STORAGE MATERIALS
(2023)
Article
Thermodynamics
Hanqing Yu, Lisheng Zhang, Wentao Wang, Shen Li, Siyan Chen, Shichun Yang, Junfu Li, Xinhua Liu
Summary: In order to ensure the secure and healthy usage of lithium-ion batteries, accurately estimating the state of charge (SOC) in battery management systems is necessary. The development of deep learning (DL) provides a new solution for battery SOC estimation. This paper proposes a method that integrates mechanism knowledge of the battery domain into the DL framework, resulting in improved SOC estimation performance.
Article
Chemistry, Physical
M. Jayachandran, Helen Annal Therese, T. Vijayakumar
Summary: The Lithium and Manganese-rich layered oxides with the formula Li1.2Ni0.1Mn0.6Co0.1O2 (LMR-NMC) are considered highly promising cathode materials for next-generation lithium-ion batteries due to their high energy densities, low cost, high thermal stability, and environmental safety. This study synthesized LMR-NMC oxides with different morphologies and analyzed their crystal structures and electrochemical properties. The nanoplatelet-like morphology (LMR-NMC-A) exhibited better performance than the cubic-like morphology (LMR-NMC-B). These findings confirm the suitability of nanoplatelet-like LMR-NMC-A as a cathode material for lithium-ion batteries.
SURFACES AND INTERFACES
(2023)
Article
Chemistry, Physical
Markos Koseoglou, Evangelos Tsioumas, Dimitra Ferentinou, Nikolaos Jabbour, Dimitrios Papagiannis, Christos Mademlis
Summary: The proposed method for lithium plating detection in lithium-ion batteries utilizes the DEIS technique and can effectively detect lithium plating in real-time during the charging process. By analyzing the impedance of the battery in the frequency domain, the method is capable of detecting lithium plating by monitoring the real and imaginary parts of the battery impedance. The experimental results show that the DEIS technique is effective for detecting lithium plating at different temperatures and charging conditions, for rates as high as 6C, and for different battery types.
JOURNAL OF POWER SOURCES
(2021)
Article
Engineering, Environmental
Jianbo Wang, Juan Lv, Mingxing Zhang, Miqi Tang, Qi Lu, Yufei Qin, Yan Lu, Bo Yu
Summary: LiCoO2 is widely used in Li-ion batteries for portable electronics, but current recycling methods involve complex procedures and the use of harmful chemicals. This study introduces a single-step recycling approach based on suspension electrolysis, which uses a simple electrolyte and shows potential for environmentally friendly LiCoO2 recovery.
JOURNAL OF HAZARDOUS MATERIALS
(2021)
Article
Thermodynamics
Yizhao Gao, Chong Zhu, Xi Zhang, Bangjun Guo
Summary: In this paper, a control-oriented electrochemical model of lithium-ion batteries is proposed and validated for accurate prediction of battery state and temperature. The model decoupling and verification demonstrate its effectiveness in real-time applications.
Article
Thermodynamics
Pengbo Nie, Si-Wei Zhang, Aihua Ran, Canhui Yang, Shuxiao Chen, Zhenlong Li, Xuan Zhang, Weiwei Deng, Ting Liu, Feiyu Kang, Guodan Wei
Summary: This paper establishes an electrochemical-thermal coupling model to simulate the behavior of lithium-ion batteries during charge-discharge cycles and pulse tests. The simulation results show that battery temperature rises sharply during discharge, providing insights for early detection and prevention of safety issues.
APPLIED THERMAL ENGINEERING
(2021)
Article
Chemistry, Physical
Wenqin Ling, Zhengguang Zou, Shuchao Zhang, Xiaoxiao Peng, Shiying Luo, Xin Tang, Jing Geng
Summary: Heteroatom doping is a common modification method for lithium-ion battery electrodes, and it can improve the electrochemical performance of materials. In this study, CO2-modified VO2(B) nanorods were synthesized, resulting in a CO2-VO2 electrode with high rate capacity and capacity retention. The role of CO2 small molecules as a pillar in the interlayer of VO2(B) and the weak electrostatic attraction between OCO2 and Li+ contribute to the stability and diffusion of lithium ions.
JOURNAL OF ALLOYS AND COMPOUNDS
(2023)
