Experimental and theoretical investigation of temperature distributions in a prismatic lithium-ion battery

Panchal, Satyam; Dinçer, İbrahim; Agelin‐Chaab, Martin; Fraser, Roydon; Fowler, Michael

doi:10.1016/j.ijthermalsci.2015.08.016

Cited by 123 publications

(47 citation statements)

References 23 publications

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“…Temperature, one of the most important parameter for a battery, can affect both the lifetime and energy of the battery. The battery temperature should be within a temperature range that is considered optimum for the better performance and long life, for both use and storage [20,21]. This temperature range differs between technologies and manufacturers.…”

Section: Introductionmentioning

confidence: 99%

Experimental temperature distributions in a prismatic lithium-ion battery at varying conditions

Panchal

Dinçer

Agelin‐Chaab

et al. 2016

International Communications in Heat and Mass Transfer

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Section: Introductionmentioning

confidence: 99%

Experimental temperature distributions in a prismatic lithium-ion battery at varying conditions

Panchal

Dinçer

Agelin‐Chaab

et al. 2016

International Communications in Heat and Mass Transfer

Self Cite

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“…Vehicle exhaust emissions are one of the largest sources of greenhouse gases. 1 Due to the environmental protection, new energy vehicles have attracted more and more attention. Lithium-ion batteries are the core components of new energy vehicles.…”

Section: Discussionmentioning

confidence: 99%

Heat dissipation analysis of double-layer battery pack under coupling heat transfer of air, liquid, and solid

Zhao

Zhu

et al. 2018

Int J Energy Res

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Summary Due to the sensitivity of the electrochemical performance of lithium‐ion batteries to temperature, the thermal management system becomes an essential component of pure electric vehicles. This paper selects a liquid‐cooled double‐layer battery pack for a certain car as the research object, determines the heating power of the battery cell through experiments, considers the existence of air domain in the battery pack to establish a battery pack thermal management system model, and analyzes the effects of different discharge rates, inlet flow rates, and inlet flow directions on the thermal performance of the double‐layer battery pack. The results show that the temperature of the upper module of the double‐layer battery pack is higher than that of the lower module at the same discharge rates and inlet flow rate; the maximum temperature of the upper module can be effectively reduced by increasing the liquid intake flow of the upper module. When the inlet flow rate of the upper module and the lower module is 550 and 500 L/hour respectively, the temperature distribution difference between the upper and lower modules of the double‐layer battery pack is the smallest, and the heat dissipation performance of the battery pack is the better. The conclusion can provide reference for structural design and optimization of thermal management system of the liquid‐cooled double‐layer battery pack.

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“…Panchal et al established the first‐order resistor‐capacitor (RC) model of a LiFePO 4 cell and utilized it to predict its electrical performance . They then coupled the electrical model with Bernard simplified heat generation model, presented in Bernardi et al to describe the development of the battery temperature in the discharge process . Lin et al proposed an electrothermal‐coupled model that estimates both the core and surface temperatures of the battery.…”

Section: Introductionmentioning

confidence: 99%

An improved electrothermal‐coupled model for the temperature estimation of an air‐cooled battery pack

Xie

Zheng

et al. 2019

Int J Energy Res

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Summary This work establishes an improved electrothermal‐coupled model for the estimation of the temperature evolution in an air‐cooled pack with three parallel branches and four serial cells in each branch. This model includes the influences of the cells' state of charge (SOC) and temperature on the ohmic and polarization resistances and polarization capacitance. The current distribution in the pack is considered in the model and applied to predicting the inconsistent effect of cell temperature. Moreover, the pipe network theory is used to model the airflow in the pack and the heat convection between the air and the batteries. An experiment is implemented to verify prediction precision in the electrical and thermal parameters of the pack. The results show that the electrothermal model accurately estimates the electrical and thermal performance of the air‐cooled pack. The relative error of the pack terminal voltage between the prediction and the experiment is 3.22% under the conditions of a discharging rate is 1.5 C (C denotes the ratio of charging/discharging current to battery capacity), environment temperature of 37°C, and air inlet velocity of 6 m/s. Regarding the prediction error in the temperature, the root mean square errors of most batteries are no more than 0.6°C under the conditions of discharge rates of 1 C and 1.5 C and ambient temperatures of 17°C, 27°C, and 37°C.

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Experimental and theoretical investigation of temperature distributions in a prismatic lithium-ion battery

Cited by 123 publications

References 23 publications

Experimental temperature distributions in a prismatic lithium-ion battery at varying conditions

Experimental temperature distributions in a prismatic lithium-ion battery at varying conditions

Heat dissipation analysis of double-layer battery pack under coupling heat transfer of air, liquid, and solid

An improved electrothermal‐coupled model for the temperature estimation of an air‐cooled battery pack

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