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
Chemistry, Physical
F. F. Oehler, K. Nuernberger, J. Sturm, A. Jossen
Summary: Accurate knowledge of the current state of lithium-ion battery cells is crucial for enhanced operational management of battery electric vehicles. This study demonstrates the fast and robust performance of online state estimation using an efficient implementation of a popular pseudo-two-dimensional electrochemical model and a nonlinear filtering algorithm.
JOURNAL OF POWER SOURCES
(2022)
Article
Energy & Fuels
Brady Planden, Katie Lukow, Paul Henshall, Gordana Collier, Denise Morrey
Summary: This paper presents an improved algorithm for real-time battery modelling, which can create and simulate reduced-order physics-based models in Julia and implement in-vehicle model creation on ARM-based computing architectures. The paper also includes parametric sensitivity analysis, experimental validation, and performance comparison with MATLAB implementation.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Zichuan Yang, Junqiu Li, Haifu Jiang, Ziming Liu
Summary: This paper presents a damage detection method based on the IMM algorithm, which effectively detects cell damage by using two circuit models and filters to interactively estimate, providing an effective way for diagnosing cell damage.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Chemistry, Physical
Andreas Strasser, Alexander Adam, Jiahao Li
Summary: Reducing the charging time is important for increasing the acceptance of electric vehicles. This paper introduces a new method that allows the detection of the onset of lithium plating in automotive lithium-ion batteries using online electrochemical impedance spectroscopy. The detection is based on observing the real part of the impedance across the state of charge during the charging procedure.
JOURNAL OF POWER SOURCES
(2023)
Article
Computer Science, Artificial Intelligence
Chinedu Ossai, Ifeanyi P. Egwutuoha
Summary: This study utilized segmentation-type anomaly detection, the Levenberg-Marquardt algorithm, and multiphase exponential regression model to determine the state of health of lithium-ion batteries. The parametric values were determined by characterizing transition rate values and charge capacities at changepoints.
NEURAL COMPUTING & APPLICATIONS
(2021)
Article
Energy & Fuels
Isaias Gonzalez, Antonio Jose Calderon, Francisco Javier Folgado
Summary: This paper presents a monitoring system for visualizing the operation of a Lithium-ion Battery (LiB), using Internet of Things (IoT) technology for data acquisition and analysis. The feasibility and successful performance of the system are demonstrated through experimental data.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Yun Zhu, Siwei Liu, Kexiang Wei, Hongyan Zuo, Ronghua Du, Xiong Shu
Summary: This paper proposes a novel evaluation model based on the performance degradation Wiener process model, verifies the effectiveness and accuracy of the model through experiments, and achieves real-time reliability evaluation of lithium-ion batteries using Bayesian updating algorithm.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Jiuchun Jiang, Taiyu Li, Chun Chang, Chen Yang, Li Liao
Summary: This paper proposes a fault diagnosis method for power lithium battery based on isolated forest algorithm. By signal processing and feature extraction, the method can effectively identify anomalous battery cells and has good application prospects in real vehicles.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Thermodynamics
Zhenyu Liu, Zhiguo Fan, Ke Li, Xiaoyuan Shao, Binning Fan, Aifeng Liu, Lijun Yan
Summary: A battery balancing control strategy for industrial applications is proposed in this paper, which adds ohmic voltage compensation based on the traditional equalization control strategy. By increasing the compensation and prolonging the equalization time, a better equalization effect can be achieved.
INTERNATIONAL JOURNAL OF LOW-CARBON TECHNOLOGIES
(2022)
Article
Energy & Fuels
Young-Hwa Park, Rae-Young Kim, Yeong-Jun Choi
Summary: This paper introduces an active voltage balancing method for secondary batteries, utilizing a multi-winding transformer and an additional auxiliary circuit to overcome the limitations of passive balancing. The validity of the proposed circuit was confirmed through mode analysis and simulation, and waveforms demonstrating balancing performance under various conditions were provided, along with comparison results with traditional methods.
Article
Thermodynamics
A. Maheshwari, S. Nageswari
Summary: This paper focuses on the estimation of the battery's State of Charge (SOC) in a battery management system, proposing an optimization algorithm based on EKF and SFO to improve estimation accuracy and convergence speed.
Article
Energy & Fuels
Jinlei Sun, Tao Jiang, Guang Yang, Yong Tang, Saihan Chen, Shengshi Qiu, Kai Song
Summary: This study proposes a charging and active balancing system for lithium-ion battery packs based on wireless power transfer. The system wirelessly transfers energy to charge the battery pack and balance single batteries. In addition, a multiobjective optimal balancing strategy is used to optimize the pack available capacity.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Chemistry, Physical
Felix Katzer, Patrick Moessle, Maximilian Schamel, Michael A. Danzer
Summary: The impedance-based detection method for retrospective identification of lithium deposition was used in a long-term aging study. The method proved to be sensitive and reliable in detecting minor lithium deposition, making it suitable for adaptive fast charging control and identification of charging rate limits.
JOURNAL OF POWER SOURCES
(2023)
Article
Energy & Fuels
El Marghichi Mouncef, Bouzi Mostafa
Summary: This paper proposes a battery capacity estimation framework based on the sunflower optimization algorithm, which takes into account capacity error sources and uses a reduction strategy of the search space to enhance accuracy. Experimental results demonstrate that this approach has high accuracy and predictive performance.
JOURNAL OF ENERGY STORAGE
(2022)
