Study on the thermal behaviors of power lithium iron phosphate (LFP) aluminum-laminated battery with different tab configurations

Du, Shaowu; Wang, Tingyun; Cheng, Yun; Tang, Yiwei; Zhang, Hongliang; Ai, Lihua; Zhang, Kai; Lai, Yanqing

doi:10.1016/j.ijthermalsci.2014.11.018

Cited by 72 publications

(21 citation statements)

References 21 publications

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“…For accounting the non-uniformity of temperature distribution to represent the non-uniform heat source of real battery, additional heat sources of electrode tabs were added in this study, which were respectively made of aluminum and copper. During the cycling process, the heat generation rate of Joule heat generated by tabs can be determined as follows [49]:…”

Section: Battery Modelingmentioning

confidence: 99%

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Investigation on thermal management performance of PCM-fin structure for Li-ion battery module in high-temperature environment

Ping

Peng

Kong

et al. 2018

Energy Conversion and Management

263

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Section: Battery Modelingmentioning

confidence: 99%

“…Mass conservation Table 4 Parameters used in the thermal-electrochemical model [49,50]. 62.8×10 -9 Gas pressure, Pg (atm) 50 Thermal conductivity of gas, kg (W m -1 K -1 ) 0.0299…”

Section: Physical Mechanism Equationsmentioning

confidence: 99%

Investigation on thermal management performance of PCM-fin structure for Li-ion battery module in high-temperature environment

Ping

Peng

Kong

et al. 2018

Energy Conversion and Management

263

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show abstract

“…In some existing works, the battery temperature distribution is obtained through numerical calculation. Guo et al established a three‐dimensional thermal model based on the finite element method to predict the battery temperature distribution under thermal abuse conditions and verified the accuracy of the model through experiments.…”

Section: Introductionmentioning

confidence: 99%

Core temperature estimation based on electro‐thermal model of lithium‐ion batteries

Chen

Cao

et al. 2020

Int J Energy Res

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The performance of battery management systems relies on the core temperature estimation, which is one of the major technical bottlenecks for electric vehicles. Aiming to tackle this problem, a lumped-parameter two-state thermal model for lithium-ion batteries is established in this paper. Then, this thermal model is coupled with a temperature-dependent second-order RC equivalent circuit model to form an electro-thermal model for lithium-ion batteries. Using the proposed electro-thermal model, an adaptive estimation algorithm based on joint Kalman filtering is proposed for battery core temperature estimation, considering the heat transfer condition variations between the battery surface and ambient media. The verification results show that the proposed algorithm enhances the temperature estimation accuracy, compared to the results obtained directly from the electro-thermal model. Besides, the verification results demonstrate the high adaptability of the proposed algorithm, that is, it is robust to variations in ambient temperature, as well as variations in thermal resistance between the battery surface and ambient media. Considering the influences of temperature and SOC on the thermal generation rate of the battery, an electro-thermal model for lithium-ion batteries is established. This model is composed of a lumped-parameter two-state thermal model and a temperature-dependent second-order RC equivalent circuit model. An adaptive core temperature estimation algorithm based on joint Kalman filtering is proposed, considering the heat transfer condition variations between the battery surface and the ambient media.

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“…Fangming Jiang et al [5] established a thermo-electrochemical coupling model to study the internal heat generation and heat loss processes during different charge and discharge cycles. Shuanglong Du et al [6] established a three-dimensional thermal model based on the finite element theory and lumped internal heat generation principle to investigate the relationship between the discharge rate, total heat generation, and depth of discharge for the LiFePO 4 battery. L H Saw et al [7] established an empirical equation to describe the electrical characteristics of lithium-ion batteries, as well as a coupled lumped parameter thermal model to describe the thermal characteristics of the battery.…”

Section: Introductionmentioning

confidence: 99%

Determination of the Optimum Heat Transfer Coefficient and Temperature Rise Analysis for a Lithium-Ion Battery under the Conditions of Harbin City Bus Driving Cycles

Siyu

Chen

2017

Energies

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This study investigated the heat problems that occur during the operation of power batteries, especially thermal runaway, which usually take place in high temperature environments. The study was conducted on a ternary polymer lithium-ion battery. In addition, a lumped parameter thermal model was established to analyze the thermal behavior of the electric bus battery system under the operation conditions of the driving cycles of the Harbin city electric buses. Moreover, the quantitative relationship between the optimum heat transfer coefficient of the battery and the ambient temperature was investigated. The relationship between the temperature rise (T r ), the number of cycles (c), and the heat transfer coefficient (h) under three Harbin bus cycles have been investigated at 30 • C, because it can provide a basis for the design of the battery thermal management system. The results indicated that the heat transfer coefficient that meets the requirements of the battery thermal management system is the cubic power function of the ambient temperature. Therefore, if the ambient temperature is 30 • C, the heat transfer coefficient should be at least 12 W/m 2 K in the regular bus lines, 22 W/m 2 K in the bus rapid transit lines, and 32 W/m 2 K in the suburban lines.

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Study on the thermal behaviors of power lithium iron phosphate (LFP) aluminum-laminated battery with different tab configurations

Cited by 72 publications

References 21 publications

Investigation on thermal management performance of PCM-fin structure for Li-ion battery module in high-temperature environment

Investigation on thermal management performance of PCM-fin structure for Li-ion battery module in high-temperature environment

Core temperature estimation based on electro‐thermal model of lithium‐ion batteries

Determination of the Optimum Heat Transfer Coefficient and Temperature Rise Analysis for a Lithium-Ion Battery under the Conditions of Harbin City Bus Driving Cycles

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