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
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 est...
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doaj-cc2e0f83fd614f92bc6ce048a43528a52020-11-25T00:29:48ZengMDPI AGEnergies1996-10732017-10-011011172310.3390/en10111723en10111723Determination of the Optimum Heat Transfer Coefficient and Temperature Rise Analysis for a Lithium-Ion Battery under the Conditions of Harbin City Bus Driving CyclesXiaogang Wu0Siyu Lv1Jizhong Chen2College of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150080, ChinaCollege of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150080, ChinaState Key Laboratory of Operation and Control of Renewable Energy & Storage Systems, China Electric Power Research Institute, Beijing 100192, ChinaThis 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 (Tr), 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/m2K in the regular bus lines, 22 W/m2K in the bus rapid transit lines, and 32 W/m2K in the suburban lines.https://www.mdpi.com/1996-1073/10/11/1723batterythermal managementheat transfer coefficienttemperature rise models |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xiaogang Wu Siyu Lv Jizhong Chen |
spellingShingle |
Xiaogang Wu Siyu Lv Jizhong Chen 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 Energies battery thermal management heat transfer coefficient temperature rise models |
author_facet |
Xiaogang Wu Siyu Lv Jizhong Chen |
author_sort |
Xiaogang Wu |
title |
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 |
title_short |
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 |
title_full |
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 |
title_fullStr |
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 |
title_full_unstemmed |
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 |
title_sort |
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 |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2017-10-01 |
description |
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 (Tr), 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/m2K in the regular bus lines, 22 W/m2K in the bus rapid transit lines, and 32 W/m2K in the suburban lines. |
topic |
battery thermal management heat transfer coefficient temperature rise models |
url |
https://www.mdpi.com/1996-1073/10/11/1723 |
work_keys_str_mv |
AT xiaogangwu determinationoftheoptimumheattransfercoefficientandtemperatureriseanalysisforalithiumionbatteryundertheconditionsofharbincitybusdrivingcycles AT siyulv determinationoftheoptimumheattransfercoefficientandtemperatureriseanalysisforalithiumionbatteryundertheconditionsofharbincitybusdrivingcycles AT jizhongchen determinationoftheoptimumheattransfercoefficientandtemperatureriseanalysisforalithiumionbatteryundertheconditionsofharbincitybusdrivingcycles |
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1725329860749950976 |