Article
Energy & Fuels
Jialong Liu, Qiangling Duan, Kaixuan Qi, Yujun Liu, Jinhua Sun, Zhirong Wang, Qingsong Wang
Summary: This study investigates the aging mechanisms and state of health prediction of lithium-ion batteries throughout their lifespan. Battery capacity fading is divided into three stages: stable fading, fast fading, and repetition between capacity increase and decrease. Incremental capacity analysis and electrochemical impedance spectroscopy are used to study relevant aging mechanisms. In the first stage, aging mechanisms include loss of lithium and active material at both electrodes. In the second stage, aging mechanisms are loss of lithium and active material at the negative electrode. In the third stage, the loss of lithium is recovered to increase capacity. Finally, a back propagation neural network optimized by genetic algorithm is used to predict the state of health of lithium-ion batteries, including cycle life, second-life use, and residual capacity.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Thermodynamics
Weiguang An, Yongcheng Lu, Fengkai Liu, Tao Wang, Wenshu Xu, Zhi Wang
Summary: This study conducted a series of thermal runaway tests to explore the thermal safety of lithium ion batteries (LIBs). The results demonstrate that increasing the state of charge (SOC) intensifies the impact of fires, while reducing the spacing enhances the thermal effect of flames on the batteries. Moreover, a simplified model is developed to predict the heat release rate (HRR) of LIBs.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2022)
Article
Energy & Fuels
Cheng Qian, Binghui Xu, Quan Xia, Yi Ren, Bo Sun, Zili Wang
Summary: Accurately predicting the state of health (SOH) is crucial for the safety and reliability of lithium-ion batteries. Existing data-driven methods typically only consider the historical state information of a battery as input. To address the impact of future loads on SOH degradation, a new SOH prediction method is developed that takes both historical state information and future load information into account. The proposed attention-based multisource sequence-to-sequence (AM-seq2seq) model integrates these two types of information and demonstrates accurate long-term SOH predictions across various load scenarios and beginning of predictions (BOPs). The model also exhibits robustness against different historical state input and future load input lengths, making it feasible for adaptively predicting battery SOHs under different future loads with limited historical data.
Article
Thermodynamics
Qin Le, Qianlei Shi, Qian Liu, Xiaole Yao, Xing Ju, Chao Xu
Summary: Thermal management is crucial for lithium-ion batteries due to their heat generation during high-rate charging and discharging. This paper presents a novel manifold immersion (MI) cooling structure inspired by the microchannel structure for chip cooling. Numerical simulation models are used for optimization analysis. The results reveal that the MI cooling structure requires high heat transfer on the lateral surface of batteries rather than the bottom or baffle surface. The cooling capacity is greatly influenced by design parameters such as manifold channel length and battery spacing channel width. Stable wall jet flows contribute to better thermal load and temperature uniformities. The optimized MI cooling structure achieves a maximum temperature of 35.06 degrees C with good temperature uniformity for a lithium-ion battery pack.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2022)
Article
Energy & Fuels
Lixin Wang, Yankong Song, Chao Lyu, Dazhi Yang, Wenting Wang, Yaming Ge
Summary: This article investigates an online prediction method for battery state of power (SoP) under temperature constraint. The proposed method uses a recursion-based model predictive control algorithm to predict the voltage and temperature, and applies multi-step Kalman filtering for error correction. Experimental results show the potential of this algorithm for utility-scale electrical storage applications.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Huichun Zhao, Xinran Wang, Ying Bai, Huifen Jin, Jiang Zhou, Guoqiang Tan, Chuan Wu
Summary: This paper presents research on the thermal behavior of high-energy LiNi0.8Co0.15Al0.05O2//Si-C pouch battery under different current rates and ambient temperatures. By using electrochemical calorimetry and finite element analysis, the heat generation rate and temperature distribution of the battery are calculated. The results show that the temperature gradient of the battery increases with the discharge rate, and the simulation results are consistent with experimental measurements.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Hailin Feng, Ningjuan Li
Summary: Accurate prediction of the SOH of lithium-ion batteries is achieved through a new multi-feature fusion SOH prediction method called SRLF-CHI-AdaPSOELM. The method utilizes differential thermal capacity (DTC) which integrates capacity, surface temperature, and voltage information to represent the health of Li-ion batteries. A new function model (S-RLF) is established to represent DTC in different voltage segments. The model parameters are used to extract new battery health indicators (HI) and a fusion health indicator (CHI) is established. An SOH prediction model (Ada-PSOELM) based on extreme learning machine (ELM) is then established using optimized input parameters and can accurately predict SOH.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Chemistry, Physical
Mohammad A. Hoque, Petteri Nurmi, Arjun Kumar, Samu Varjonen, Junehwa Song, Michael G. Pecht, Sasu Tarkoma
Summary: The paper uses a public dataset to characterize battery internal resistance behavior; develops battery health prediction models for different operating conditions based on internal resistance dynamics; and demonstrates that instantaneous voltage drops due to multiple pulse discharge loads can characterize battery heterogeneity.
JOURNAL OF POWER SOURCES
(2021)
Article
Chemistry, Physical
Conner Fear, Mukul Parmananda, Venkatesh Kabra, Rachel Carter, Corey T. Love, Partha P. Mukherjee
Summary: This study highlights the challenges of lithium plating and thermal inhomogeneity during rapid charging, emphasizing the impact of in-plane and inter-electrode thermal gradients on charging performance and cell degradation.
ENERGY STORAGE MATERIALS
(2021)
Article
Thermodynamics
Junxiong Zeng, Shuai Feng, Chenguang Lai, Jie Song, Lijuan Fu, Hu Chen, Shanqing Deng, Tieyu Gao
Summary: This paper investigates the thermal performance of refrigerant-based battery thermal management system (BTMS) for a real HEV battery pack in both cooling and heating conditions. The heat generation model of battery cells and the numerical methodology for predicting the cooling performance are validated by experiments. The effects of discharging C-rate, mass flow rate, initial temperature, and vapor quality of refrigerant on the battery pack's thermal performance are analyzed in detail. The results show that the discharging C-rate, mass flow rate, and initial temperature have significant impacts on the battery pack's thermal performance, while the effect of vapor quality is limited. The cooling performance of the refrigerant satisfies the requirement of BTMS at the real driving cycle, and the optimum heating power for the battery pack ranges from 400 W to 460 W.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Article
Electrochemistry
Mingqian Li, Panpan Xu, Suk-woo Lee, Bum-young Jung, Zheng Chen
Summary: Integrating TRPS directly into LIB electrodes successfully overcame the processing difficulty and achieved battery manufacturing with consistent electrochemical performance and thermal abuse protection. The use of tungsten carbide as a conductive filler, along with a scalable solvent-based method, resulted in highly conductive and uniform TRPS.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2021)
Article
Energy & Fuels
Yongji Chen, Xiaolong Yang, Dong Luo, Rui Wen
Summary: This study proposes a battery remaining available energy prediction method based on the electrothermal effect and energy conversion efficiency. By utilizing adaptive filtering and Markov models, accurate prediction for different types of lithium-ion batteries under dynamic conditions is achieved, showing high accuracy and robustness.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Energy & Fuels
Saihan Chen, Jinlei Sun, Shengshi Qiu, Xinwei Liu, Kai Lyu, Siwen Chen, Shiyou Xing, Yilong Guo
Summary: This paper proposes a phased control reciprocating airflow cooling strategy for battery modules considering SOC and SOH inconsistencies. The SOC and SOH of the batteries in the module are obtained by the RLS-DEKF algorithm, and the heat generation rate of batteries is estimated accordingly. The proposed cooling strategy can effectively reduce the maximum temperature and temperature difference of inconsistent battery modules.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Jan Kleiner, Magdalena Stuckenberger, Lidiya Komsiyska, Christian Endisch
Summary: An innovative NARX network was developed and compared to traditional feedforward networks for temperature prediction in Li-ion batteries, demonstrating higher accuracy and robustness. In terms of long-term prediction and dynamic applications, the NARX network showed superior performance.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Chemistry, Physical
Bing Li, Casey M. Jones, Thomas E. Adams, Vikas Tomar
Summary: This study presents a dynamic testing platform to analyze the performance degradation and safety issues of lithium-ion batteries during operation, by cycling batteries under various dynamic conditions. The sensor network can identify critical periods with high heat generation and stress accumulation rates, as well as the effects of boundary conditions on heat generation. Using this sensor network can help identify critical batteries with safety hazards.
JOURNAL OF POWER SOURCES
(2021)
Article
Chemistry, Multidisciplinary
Chang-O Yoon, Pyeng-Yeon Lee, Minho Jang, Kisoo Yoo, Jonghoon Kim
JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY
(2019)
Article
Energy & Fuels
Deokhun Kang, Pyeong-Yeon Lee, Kisoo Yoo, Jonghoon Kim
JOURNAL OF ENERGY STORAGE
(2020)
Article
Energy & Fuels
Haoliang Zhang, Wei Tang, Woonki Na, Pyeong-Yeon Lee, Jonghoon Kim
JOURNAL OF ENERGY STORAGE
(2020)
Article
Engineering, Mechanical
Pyeong-Yeon Lee, Seongyun Park, Inho Cho, Jonghoon Kim
Summary: The study analyzed the impact of vibration on the performance of lithium-ion batteries, particularly in railway vehicles. By conducting electrical characterization tests and monitoring the battery's resistance, capacity, and incremental capacity, it was possible to select batteries with high durability.
ENGINEERING FAILURE ANALYSIS
(2021)
Article
Thermodynamics
Taewoo Kang, Pyeong-Yeon Lee, Sanguk Kwon, Kisoo Yoo, Jonghoon Kim
Summary: The paper presents a spatial thermal model for pouch-type lithium-ion batteries, with regional resistance calculated from temperatures at different locations to capture non-uniformed temperature distribution. The model was validated to predict temperature evolutions at discharge rates of 1 C and 2 C, showing results within a reasonable error range.
APPLIED THERMAL ENGINEERING
(2021)
Article
Engineering, Electrical & Electronic
Wooyong Kim, Pyeong-Yeon Lee, Jonghoon Kim, Kyung-Soo Kim
Summary: This study presents a robust SOC estimation scheme for lithium-ion batteries in commercialized electric vehicles, providing considerable accuracy under different operational conditions and aging levels. The proposed method effectively deals with model uncertainty and parameter variation, with comprehensive analysis conducted on battery cells and electrified vehicles.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Proceedings Paper
Energy & Fuels
Seongyun Park, Pyeongyeon Lee, Deokhan Kim, Sunggoen Hong, Woonki Na, Jonghoon Kim
Summary: This study analyzed the aging mechanism of lithium-ion battery through incremental capacity analysis (ICA), proposed a method for estimating battery state-of-health, and validated the reliability of the method.
2021 THIRTY-SIXTH ANNUAL IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION (APEC 2021)
(2021)
Article
Engineering, Mechanical
Seong Yun Park, Pyeong Yeon Lee, Ki Soo Yoo, Jong Hoon Kim
Summary: Lithium-ion batteries are widely applied in various fields due to their advantages of high energy density, power density, and long life, but their lifespan depends on operating conditions and the degradation of capacity is nonlinear. Predicting the life of lithium-ion batteries is crucial for device design, and this study utilized incremental capacity analysis and differential voltage analysis to derive characteristic parameters for estimating battery life.
TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS A
(2021)
Proceedings Paper
Automation & Control Systems
Seongyun Park, Pyeongyeon Lee, Jeongho Ahn, Seungbeak Park, Youngmi Kim, Woonki Na, Jonghoon Kim
2020 20TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS)
(2020)
Proceedings Paper
Energy & Fuels
Pyeong-Yeon Lee, SangUk Kwon, Deokhun Kang, SeungYun Han, Woonki Na, Jonghoon Kim
2020 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE)
(2020)
Proceedings Paper
Energy & Fuels
Woo-Yong Kim, Pyeong-Yeon Lee, Jonghoon Kim, Kyung-Soo Kim
2019 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE)
(2019)
