Heat transfer analysis of a high-power and large-capacity thermal battery and investigation of effective thermal model

Jeong, Mun Goung; Cho, Jang-Hyeon; Lee, Bong Jae

doi:10.1016/j.jpowsour.2019.03.067

Cited by 40 publications

(23 citation statements)

References 18 publications

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“…where N is cycle number and the value of coefficients k 1 and k 2 is given in Table 2 as a function of cycling temperature. Next, the heat generated in the battery is modelled based on the power loss caused by electro-chemical reaction and internal resistance of the battery [13][14][15][16]. However, the model used in this research does not consider the effects of electrochemical reaction due to its complexity and insignificance as compared to the internal resistance power losses [17,18].…”

Section: Battery Electro-thermal Modelmentioning

confidence: 99%

Thermal characteristics of a lithium‐ion battery used in a hybrid electric vehicle under various driving cycles

Daud

Asus

Bakar

et al. 2020

IET Electrical Systems in Transportation

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Lithium-ion battery is the most preferable type for hybrid electric vehicle due to their superior performance. The battery performances and safety factors are influenced by its operating temperature, hence it needs to be controlled carefully. Battery has a good performance at high temperature but this put it at risks of thermal runaway and explosion. This study presents a simulation model to predict battery's thermal behaviours during discharging and charging through regenerative braking in a series hybrid electric vehicle under various driving cycles. In total, five driving cycles are covered namely New European Driving Cycle (NEDC), Artemis cycle, Japanese 10-15 Mode cycle, FTP-75 cycle and worldwide harmonised light vehicles test procedure cycle. Validation of the model is performed using experimental results for NEDC cycle. Important results presented in this study focus on the battery temperature under different driving cycles and the impacts by considering thermal generation during charging process. Even though the temperature increase is relatively small, but the contribution of heat generation during charging is significant especially in an aggressive driving cycle. These results are very important in providing better understanding on the battery thermal behaviours so that a more effective battery management system can be developed (199/200).

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Section: Battery Electro-thermal Modelmentioning

confidence: 99%

Thermal characteristics of a lithium‐ion battery used in a hybrid electric vehicle under various driving cycles

Daud

Asus

Bakar

et al. 2020

IET Electrical Systems in Transportation

View full text Add to dashboard Cite

show abstract

“…In this paper we use the thermal battery simulation model reported by Jeong et al [14], as shown in Figure 1a. The 13-stack thermal battery is composed of a case, thermal insulation, top and bottom stack regions, and the electroactive cells, which consist of 13 layers of unit cells and 14 layers of heat pellets (Fe/KClO 4 ).…”

Section: Structural Composition and Parameters Of Thermal Batterymentioning

confidence: 99%

“…Chen et al [13] developed a thermal battery which greatly prolongs the discharge time compared to the traditional thermal battery with a low melting point electrolyte. Jeong et al [14] conducted thermal analysis on large-capacity thermal batteries, reporting that adding additional heat pellets to the insulation layer lead to longer discharge time.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of Activation Time and Discharge Time of Thermal Battery Using a Genetic Algorithm Approach

Shao

Huanling

et al. 2020

Energies

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Activation time and discharge time are important criteria for the performance of thermal batteries. In this work a heat transfer analysis is carried out on the working process of thermal batteries. The effects of the thicknesses of heat pellets which are divided into three groups and that of the thickness of insulation layers on activation time and discharge time of thermal batteries are numerically studied using Fluent 15.0 when the sum of the thickness of heating plates and insulation layers remain unchanged. According to the numerical results, the optimal geometric parameters are obtained by using multi-objective genetic algorithm. The results show that the activation time is mainly determined by the thickness of the bottom heat pellet, while the discharge time is determined by the thickness of the heat pellets and that of the insulation layers. The discharge time of the optimized thermal battery is increased by 4.08%, and the activation time is increased by 1.23%.

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“…Additionally, Figure 9 displays the small variance in the distribution of heat for the cells. According to the principle of heat transfer, the vibration stress may affect the flow of electrolyte inside the battery, resulting in the release of more heat [33]- [35].…”

Section: Thermal Measurementmentioning

confidence: 99%

A Study on Performance Characterization Considering Six-Degree-of-Freedom Vibration Stress and Aging Stress for Electric Vehicle Battery Under Driving Conditions

Jiao

Xiao

et al. 2019

IEEE Access

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The battery degradation tests under various stress are critical to understand the relationship between the battery lifespan and the external factors. This paper establishes a battery test bench, which can provide not only the 6-six degree of freedom (DOF) vibration stress but also the charge-discharge stress. By conducting lithium-ion batteries under 6-DOF vibration stress and other reference experiments, the electrochemical impedance spectroscopy (EIS), internal resistances, thermal measurement, open circuit voltage (OCV) recovery and capacity of the cells are compared to determine the impact of the 6-DOF vibration stress on the cells. The experimental results show that the vibration stress increases the ohmic resistance, and also causes a higher heat release. In addition, the cells under vibration stress exhibit a higher capacity fade and a lower OCV recovery rate, while the internal impedance is also changed with vibration stress. In order to quantize the effect of the vibration stress on battery degradation, the analysis of variance (ANOVA) is calculated. The conclusion is that the vibration stress has little impact on the cell polarization resistance, while it significantly affects the ohmic resistance, OCV recovery, thermal measurement, and capacity of cells, respectively.INDEX TERMS Electric vehicle (EV), lithium-ion battery, six-degree-of-freedom (6-DOF) vibration stress, performance test, analysis of variance (ANOVA).

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Heat transfer analysis of a high-power and large-capacity thermal battery and investigation of effective thermal model

Cited by 40 publications

References 18 publications

Thermal characteristics of a lithium‐ion battery used in a hybrid electric vehicle under various driving cycles

Thermal characteristics of a lithium‐ion battery used in a hybrid electric vehicle under various driving cycles

Multi-Objective Optimization of Activation Time and Discharge Time of Thermal Battery Using a Genetic Algorithm Approach

A Study on Performance Characterization Considering Six-Degree-of-Freedom Vibration Stress and Aging Stress for Electric Vehicle Battery Under Driving Conditions

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