☆ 4.5 Review

Thermal Behavior Modeling of Lithium-Ion Batteries: A Comprehensive Review

SYMMETRY-BASEL (2023)

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Article Energy & Fuels

Thermal Model and Experimental Verification of Lithium-Ion Battery Based on Heat Generation Rate

Jiawei Zhai et al.

Summary: In order to study the temperature distribution in a lithium-ion battery (LIB), a series of experiments including open-circuit voltage (OCV) test, discharge rate test, hybrid pulse power characteristic (HPPC) test, and discharge temperature rise test based on the Bernardi heat generation model were conducted. The thermal model (TM) of the LIB under different discharge rates was established. The temperatures of the cell at different discharge rates calculated by the TM, which leverages the user-defined function (UDF) to import a variable heat generation rate, were compared with the experimental data. Moreover, this TM was used to simulate the LIB temperature at different ambient temperatures and different heat-transfer coefficients and analyze the temperature distribution of cell. The results showed that the TM can accurately simulate the temperature rise of the LIB at different discharge rates, which provides a reference value for LIB thermal management.

JOURNAL OF ENERGY ENGINEERING (2023)

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Article Electrochemistry

3D Thermal Simulation of Lithium-Ion Battery Thermal Runaway in Autoclave Calorimetry: Development and Comparison of Modeling Approaches

S. Hoelle et al.

Summary: This paper analyzes and compares three different empirical modeling approaches for modeling and simulating heat release during battery cell thermal runaway. The 3D-CFD framework of Simcenter Star-CCM+(R) is used to simulate the autoclave calorimetry experiment of a prismatic lithium-ion battery (>60 Ah), and the simulation results are compared to experimental data. Additionally, the influence of critical parameters such as mass loss, specific heat capacity, and thermal conductivity of the jelly roll is analyzed. All three modeling approaches are able to accurately reproduce the experimental results, but there are significant differences in computational effort. Furthermore, the study highlights the importance of considering mass loss, specific heat capacity, and thermal conductivity in the simulation results, and provides insights into the advantages and disadvantages of each modeling approach, aiding researchers and engineers in selecting a suitable model for designing safer battery packs.

JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2023)

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Article Energy & Fuels

Experimental investigation of preheating performance of lithium-ion battery modules in electric vehicles enhanced by bending flat micro heat pipe array

Lin Liang et al.

Summary: In this study, a battery thermal management system (BTMS) was established using a bent flat micro heat pipe array (FMHPA) to achieve integration of preheating and cooling at the module level. The results showed that the bending FMHPA had effective thermal conductivity and a fast temperature rise rate, and the insulation shell could increase the temperature rise rate and temperature difference at the module level.

APPLIED ENERGY (2023)

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Article Thermodynamics

Temperature prediction of lithium-ion battery based on artificial neural network model

Yuanlong Wang et al.

Summary: Accurate temperature prediction is crucial for improving battery performance and preventing thermal runaway in lithium-ion batteries. Artificial neural networks (ANNs) have been widely used for battery temperature prediction due to their ability to handle highly non-linear problems. In this study, the performance of different ANN modeling techniques, including back propagation neural network (BP-NN), radial basis functions neural network (RBF-NN), and Elman neural networks (Elman-NN), were compared for temperature prediction in a metal foam thermal management system. The results showed that the Elman neural network model had better adaptability and generalization ability, with shorter training time, making it more suitable for temperature prediction in lithium-ion batteries under a metal foam and forced air cooling system.

APPLIED THERMAL ENGINEERING (2023)

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Article Thermodynamics

Online temperature distribution estimation of lithium-ion battery considering non-uniform heat generation characteristics under boundary cooling

Xiangbo Cui

Summary: A method for estimating the temperature distribution of lithium-ion batteries considering non-uniform heat generation under boundary cooling is proposed in this paper, which can improve the accuracy of temperature estimation. By constructing a thermal model and a difference equation, and designing a disturbance observer, the proposed method is demonstrated to have better estimation performance compared with traditional methods, with an estimation error of less than 1.5 degrees Celsius under four different cycles.

APPLIED THERMAL ENGINEERING (2023)

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Article Thermodynamics

Improving the cooling performance of cylindrical lithium-ion battery using three passive methods in a battery thermal management system

Hasan Najafi Khaboshan et al.

Summary: This study aims to design a high-performance battery thermal management system utilizing phase change material, metal foam, and fins to keep the lithium-ion battery temperature at the lowest level under discharging with a 3C current rate. Four different cases of BTMS and five different fin shapes are designed and analyzed using a two-equation local non-equilibrium thermal model. The numerical results show that the optimum BTMS can reduce the battery surface temperature by 3K and has a maximum delay of about 470s in PCM melting.

APPLIED THERMAL ENGINEERING (2023)

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Article Engineering, Environmental

Experimental study on nano-encapsulated inorganic phase change material for lithium-ion battery thermal management and thermal runaway suppression

Ping Ping et al.

Summary: In this study, an encapsulated inorganic phase change material (EIPCM) was synthesized using nano-encapsulation technique. The EIPCM exhibited good phase change properties and thermal stability. It showed excellent cooling performance on battery modules and could delay the occurrence of thermal runaway, protecting the batteries from heavier fire hazards. The EIPCM has great prospects in practical battery applications, energy storage, and other fields.

CHEMICAL ENGINEERING JOURNAL (2023)

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Article Electrochemistry

A fractional-order model of lithium-ion battery considering polarization in electrolyte and thermal effect

Guorong Zhu et al.

Summary: This paper proposes a fractional-order model of lithium-ion battery considering electrolyte polarization and thermal effect (FOMeT), which demonstrates high accuracy over a wide temperature range and current load range.

ELECTROCHIMICA ACTA (2023)

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Article Chemistry, Physical

Fast self-preheating system and energy conversion model for lithium-ion batteries under low-temperature conditions

Mingyun Luo et al.

Summary: Low temperature is a major issue for electric cars in high latitudes. A conductive phase change material (cPCM)-based self-preheating system is proposed to address this problem. The system utilizes the internal resistance of cells and the external resistance of the cPCM to generate heat simultaneously, achieving a high heating rate and temperature uniformity. The system can safely preheat the battery and significantly increase the effective electric energy. An energy conversion model is developed to optimize the preheating strategy and maximize the discharge energy.

JOURNAL OF POWER SOURCES (2023)

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Article Energy & Fuels

Fast and reliable calibration of thermal-physical model of lithium-ion battery: a sensitivity-based method

C. Rabissi et al.

Summary: A comprehensive sensitivity analysis is performed on the physical simulation of a lithium-ion battery, revealing the response of the Doyle-Fuller-Newman model to variations in 28 model parameters under different temperature, state of charge, and C-rate conditions. The analysis shows that up to 14 parameters can be considered insensitive and excluded from model calibration, while other parameters exhibit a strongly diverse response that can be maximized by adopting specific conditions. An innovative method is proposed, which experimentally exploits two temperature levels and combines three techniques for a fast and reliable model calibration. The proposed protocol is successfully applied to a commercial battery sample, enabling repeatable and physically sound calibration of the model parameters.

JOURNAL OF ENERGY STORAGE (2023)

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Article Energy & Fuels

Evaluating the heat generation characteristics of cylindrical lithium-ion battery considering the discharge rates and N/P ratio

Longxing Wu et al.

Summary: This paper establishes an electrochemical-thermal model (ETM) to evaluate the heat generation characteristics of cylindrical LIBs considering the discharge rates and N/P ratio. The model is validated based on experimental data under different ambient temperatures. The results show that the heat generation in the negative electrode is dominant and the reversible term has a significant influence on the total heat generation of LIBs.

JOURNAL OF ENERGY STORAGE (2023)

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Review Energy & Fuels

A review of early warning methods of thermal runaway of lithium ion batteries

Depeng Kong et al.

Summary: Lithium-ion batteries (LIBs) have seen rapid development in energy storage due to their high specific energy and long service life. However, thermal runaway accidents caused by misuse or unreasonable use have limited their large-scale application. As a result, researchers have been focusing on advance warning to avoid thermal runaway. This comprehensive review presents an analysis of existing monitoring parameters in the thermal runaway process, compares the sensitivity and robustness of multiple warning methods, discusses early warning applications in different sectors, and envisages future warning methods combined with operational data.

JOURNAL OF ENERGY STORAGE (2023)

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Review Thermodynamics

A review on thermal management of lithium-ion batteries for electric vehicles

Xinghui Zhang et al.

Summary: Electric vehicles powered by lithium-ion batteries have great potential in alleviating energy and environmental issues, but temperature management is crucial for their development and propagation. Both high and low temperature environments can negatively impact battery performance and safety, requiring proper handling.

ENERGY (2022)

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Review Energy & Fuels

Temperature prediction of lithium-ion batteries based on electrochemical impedance spectrum: A review

Dezhi Li et al.

Summary: With the rapid development of global electric vehicles, artificial intelligence, and aerospace, the prediction of temperature in lithium-ion batteries (LIBs) has become crucial for preventing fire accidents. The current main method is to use surface temperature sensors, but it is not practical to install sensors at each cell due to cost, space, and weight issues. Therefore, the development of a new method based on electrochemical impedance spectroscopy (EIS) has become an urgent problem to be solved. This review summarizes the main methods of using EIS to predict the temperature of LIBs in recent years and discusses the advantages, disadvantages, and future development direction of different methods.

INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2022)

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Article Energy & Fuels

State of charge estimation at different temperatures based on dynamic thermal model for lithium-ion batteries

Xuan Zheng et al.

Summary: In this paper, an improved thermal model for lithium batteries is proposed, and the model parameters are identified using the least-squares method. The results show that temperature is an important factor in the model, and the proposed SOC estimation method has better capability in handling temperature variation.

JOURNAL OF ENERGY STORAGE (2022)

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Article Electrochemistry

Supervised Learning of Synthetic Big Data for Li-Ion Battery Degradation Diagnosis

Karthik S. Mayilvahanan et al.

Summary: Models that understand and predict degradation play a crucial role in improving the performance of Li-ion batteries. This study combines physical mechanistic models with machine learning to analyze synthetic low rate charge curves and study different thermodynamic degradation modes. Establishing interpretable machine learning models through step-by-step procedures, including data set splitting, featurization, and model fitting for regression and classification tasks.

BATTERIES & SUPERCAPS (2022)

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Article Thermodynamics

An investigation of heat transfer and capacity fade in a prismatic Li-ion battery based on an electrochemical-thermal coupling model

Guiwen Jiang et al.

APPLIED THERMAL ENGINEERING (2020)

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Article Electrochemistry

Development of electrochemical-thermal modelling for large-format Li-ion battery

Min Hou et al.

ELECTROCHIMICA ACTA (2020)

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Article Engineering, Electrical & Electronic

Deep Reinforcement Learning-Based Energy Storage Arbitrage With Accurate Lithium-Ion Battery Degradation Model

Jun Cao et al.

IEEE TRANSACTIONS ON SMART GRID (2020)

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Article Chemistry, Physical

Recent developments in the passive and hybrid thermal management techniques of lithium-ion batteries

Jay R. Patel et al.

JOURNAL OF POWER SOURCES (2020)

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Review Chemistry, Physical

Mitigating Thermal Runaway of Lithium-Ion Batteries

Xuning Feng et al.

JOULE (2020)

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Article Energy & Fuels

Simulation of Thermal Behaviour of a Lithium Titanate Oxide Battery

Seyed Saeed Madani et al.

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Electrochemical-thermal modeling of lithium plating/stripping of Li (Ni0.6Mn0.2Co0.2)O2/Carbon lithium-ion batteries at subzero ambient temperatures

Xinchen Zhao et al.

JOURNAL OF POWER SOURCES (2019)

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Lithium-ion battery charging management considering economic costs of electrical energy loss and battery degradation

Kailong Liu et al.

ENERGY CONVERSION AND MANAGEMENT (2019)

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Experimental determination on thermal parameters of prismatic lithium ion battery cells

Lei Sheng et al.

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER (2019)

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A survey of methods for monitoring and detecting thermal runaway of lithium-ion batteries

Zhenghai Liao et al.

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Online estimation of thermal parameters based on a reduced wide-temperature-range electro-thermal coupled model for lithium-ion batteries

Haijun Ruan et al.

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Numerical modeling and analysis of thermal behavior and Li+ transport characteristic in lithium-ion battery

Zhoujian An et al.

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PROGRESS IN NATURAL SCIENCE-MATERIALS INTERNATIONAL (2018)

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Proceedings Paper Electrochemistry

Investigation of the Effect of State-of-Charge and C-rates on the Heat Loss and Efficiency of a Lithium-ion Battery

S. S. Madani et al.

19TH INTERNATIONAL CONFERENCE ON ADVANCED BATTERIES, ACCUMULATORS AND FUEL CELLS (ABAF 2018) (2018)

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Study of Temperature Impacts on a Lithium-Ion Battery Thermal Behaviour by Employing Isothermal Calorimeter

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Heat Loss Measurement of Lithium Titanate Oxide Batteries under Fast Charging Conditions by Employing Isothermal Calorimeter

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Lithium Ion Battery Models and Parameter Identification Techniques

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Electrothermal impedance spectroscopy as a cost efficient method for determining thermal parameters of lithium ion batteries: Prospects, measurement methods and the state of knowledge

Maciej Swierczynski et al.

JOURNAL OF CLEANER PRODUCTION (2017)

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Thermal conductivity of Li-ion batteries and their electrode configurations - A novel combination of modelling and experimental approach

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3-D CFD modeling and experimental testing of thermal behavior of a Li-Ion battery

Emre Gumussu et al.

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Coupled electrochemical thermal modelling of a novel Li-ion battery pack thermal management system

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Parameter sensitivity analysis of a simplified electrochemical and thermal model for Li-ion batteries aging

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Measurement of Multiscale Thermal Transport Phenomena in Li-Ion Cells: A Review

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A thermal-electrochemical model that gives spatial-dependent growth of solid electrolyte interphase in a Li-ion battery

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Simultaneous estimation of thermal parameters for large-format laminated lithium-ion batteries

Jianbo Zhang et al.

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A three-dimensional thermal abuse model for lithium-ion cells

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Review on electrode-electrolyte solution interactions, related to cathode materials for Li-ion batteries

Doron Aurbach et al.

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Precise electrochemical calorimetry of LiCoO2/graphite lithium-ion cell -: Understanding thermal behavior and estimation of degradation mechanism

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