A review on recent progress, challenges and perspective of battery thermal management system

Lin, Jiayuan; Liu, Xinhua; Shen, Li; Zhang, Cheng; Yang, Shichun

doi:10.1016/j.ijheatmasstransfer.2020.120834

Cited by 327 publications

(88 citation statements)

References 158 publications

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“…Whether the electrolyte is solid or liquid, the main heat transfer method inside the battery is heat conduction. The proportion of heat convection and heat radiation inside the battery is small, and it is not considered in most studies [30,31].…”

Section: Fractional Heat Conduction Model Of the Lithium-ion Batterymentioning

confidence: 99%

“…The boundary condition of the thermal conduction of lithium-ion batteries satisfies Newton's law of cooling, which can be written as follows [31][32][33]…”

Section: Fractional Heat Conduction Model Of the Lithium-ion Batterymentioning

confidence: 99%

“…The most commonly used method for calculating the thermal conductivity of lithiumion batteries is the equivalent resistance method. This paper assumes that the plates of the battery are perpendicular to the z-axis [31][32][33]. The equivalent calculation method of thermal conductivity can be expressed as:…”

Section: Thermal Properties Parameters Of the Lithium-ion Batterymentioning

confidence: 99%

“…These four parts of heat are caused by the reversible reactions, internal resistance, polarization resistance, and side reactions. Currently, the Bernardi heat generation model is often used to estimate the heat generation rate of the battery [31][32][33]. The heat generation rate q of the battery can be expressed as follows…”

Section: Thermal Properties Parameters Of the Lithium-ion Batterymentioning

confidence: 99%

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Analysis of the Properties of Fractional Heat Conduction in Porous Electrodes of Lithium-Ion Batteries

Li²,

Chen

2021

Entropy

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Research on the heat transfer characteristics of lithium-ion batteries is of great significance to the thermal management system of electric vehicles. The electrodes of lithium-ion batteries are composed of porous materials, and thus the heat conduction of the battery is not a standard form of diffusion. The traditional heat conduction model is not suitable for lithium-ion batteries. In this paper, a fractional heat conduction model is used to study the heat transfer properties of lithium-ion batteries. Firstly, the heat conduction model of the battery is established based on the fractional calculus theory. Then, the temperature characteristic test was carried out to collect the temperature of the battery in various operating environments. Finally, the temperature calculated by the fractional heat conduction model was compared with the measured temperature. The results show that the accuracy of fractional heat conduction model is higher than that of traditional heat conduction model. The fractional heat conduction model can well simulate the transient temperature field of the battery. The fractional heat conduction model can be used to monitor the temperature of the battery, so as to ensure the safety and stability of the battery performance.

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Section: Fractional Heat Conduction Model Of the Lithium-ion Batterymentioning

confidence: 99%

“…The boundary condition of the thermal conduction of lithium-ion batteries satisfies Newton's law of cooling, which can be written as follows [31][32][33]…”

Section: Fractional Heat Conduction Model Of the Lithium-ion Batterymentioning

confidence: 99%

Section: Thermal Properties Parameters Of the Lithium-ion Batterymentioning

confidence: 99%

Section: Thermal Properties Parameters Of the Lithium-ion Batterymentioning

confidence: 99%

See 2 more Smart Citations

Analysis of the Properties of Fractional Heat Conduction in Porous Electrodes of Lithium-Ion Batteries

Li²,

Chen

2021

Entropy

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show abstract

“…Therefore, a properly designed thermal management system (TMS) dedicated to an EV battery pack needs to be able to contain cell temperature in an interval identified as 25-40 • C [9] for optimal performance and operative life, or below 50 • C for still acceptable performance [10], while not exceeding 60 • C under normal operating condition for safety reasons [11]. Moreover, the temperature difference between the cells inside a single module should not exceed 5 • C, and across a single cell should be between 3-5 • C [12].…”

Section: Introductionmentioning

confidence: 99%

Performance of an Environmentally Friendly Alternative Fluid in a Loop Heat Pipe-Based Battery Thermal Management System

et al. 2021

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The present investigation aims to devise a thermal management system (TMS) for electric vehicles able to improve on limitations like charging time and all-electric range, together with the safety and environmental impact of the chosen thermal medium. A research gap is identified, as focus is often on addressing system thermal performance without considering that the thermal medium must not only provide suitable performances, but also must not add risks to both passengers and the environment. Thus, this work proposes an innovative cooling system including graphite sheets and a Loop Heat Pipe, filled with Novec™ 649 as working fluid, due to its exceptional environmental properties (GWP = 1 − ODP = 0) and safety features (non-flammable, non-toxic, dielectric). A three-cell module experimental demonstrator was built to compare temperatures when the proposed TMS is run with Novec™ 649 and ethanol. Results of testing over a bespoke fast charge driving cycle show that Novec™ 649 gave a faster start-up and a slightly higher maximum temperature (0.7 °C), meaning that the gains in safety and lower environmental impact brought by Novec™ 649 came without lowering the thermal performance. Finally, the TMS was tested under three different fast charge conditions (1C, 2C, 3C), obtaining maximum temperatures of 28.4 °C, 36.3 °C and 46.4 °C, respectively.

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Battery lumped fractional‐order hysteresis thermoelectric coupling model for state of charge estimation adaptive to time‐varying core temperature conditions

Zeng,

Wang,

Takyi‐Aninakwa

et al. 2024

Circuit Theory & Apps

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As electric vehicles become more common, there is increasing concern regarding their battery reliability and safety. The estimation accuracy is strongly correlated with the performance of the battery model. The lumped fractional‐order hysteresis thermoelectric coupling model (LFHTCM), considering temperature and hysteresis effects, is established in this paper. Firstly, the fractional‐order hysteresis sub‐model is established based on the Grunwald‐Letnikov (G‐L) fractional calculus principle and the recursive model of hysteresis voltage. Then, the thermal sub‐model is established by integrating the Bernardi heating mechanism and the heat transfer model. The fractional‐order sub‐model provides voltage to the thermal sub‐model for heat generation calculation. The thermal sub‐model provides temperature to the fractional‐order model for parameter correction. Finally, the fractional‐order unscented Kalman filtering (FOUKF) algorithm was developed to estimate the state of charge (SOC) of the battery. Experimental results confirmed the effectiveness of the model, with its estimation enhancing the utilization, operational optimization, and calibration of batteries in practical applications.

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A review on recent progress, challenges and perspective of battery thermal management system

Cited by 327 publications

References 158 publications

Analysis of the Properties of Fractional Heat Conduction in Porous Electrodes of Lithium-Ion Batteries

Analysis of the Properties of Fractional Heat Conduction in Porous Electrodes of Lithium-Ion Batteries

Performance of an Environmentally Friendly Alternative Fluid in a Loop Heat Pipe-Based Battery Thermal Management System

Battery lumped fractional‐order hysteresis thermoelectric coupling model for state of charge estimation adaptive to time‐varying core temperature conditions

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