Numerical analyses on optimizing a heat pipe thermal management system for lithium-ion batteries during fast charging

Ye, Yonghuang; Saw, Lip Huat; Shi, Yixiang; Tay, A.A.O.

doi:10.1016/j.applthermaleng.2015.04.066

Cited by 304 publications

(109 citation statements)

References 34 publications

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“…Useful tool for system design optimisation for example as applied in [80][81][82][83][84][85]. [29].…”

Section: Discussionmentioning

confidence: 99%

“…Heat pipes have also been widely investigated as a thermal management mechanism for HEVs and EV Li-ion ESS [85][86][87][88][89]. Ye, et al [85] used a numerical approach to study and optimise various design parameters for a heat pipe thermal management system including the number of pipes and the usage of heat fins/spreaders.…”

Section: Other Numerical Thermal Model Applicationsmentioning

confidence: 99%

“…Ye, et al [85] used a numerical approach to study and optimise various design parameters for a heat pipe thermal management system including the number of pipes and the usage of heat fins/spreaders. The results of the transient simulation during ESS charging in the study had a 3.6% deviation from experimental testing at higher C rates (5C and 8C).…”

Section: Other Numerical Thermal Model Applicationsmentioning

confidence: 99%

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Theoretical Modelling Methods for Thermal Management of Batteries

Shabani¹,

Biju²

2015

Energies

108

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Abstract:The main challenge associated with renewable energy generation is the intermittency of the renewable source of power. Because of this, back-up generation sources fuelled by fossil fuels are required. In stationary applications whether it is a back-up diesel generator or connection to the grid, these systems are yet to be truly emissions-free. One solution to the problem is the utilisation of electrochemical energy storage systems (ESS) to store the excess renewable energy and then reusing this energy when the renewable energy source is insufficient to meet the demand. The performance of an ESS amongst other things is affected by the design, materials used and the operating temperature of the system. The operating temperature is critical since operating an ESS at low ambient temperatures affects its capacity and charge acceptance while operating the ESS at high ambient temperatures affects its lifetime and suggests safety risks. Safety risks are magnified in renewable energy storage applications given the scale of the ESS required to meet the energy demand. This necessity has propelled significant effort to model the thermal behaviour of ESS. Understanding and modelling the thermal behaviour of these systems is a crucial consideration before designing an efficient thermal management system that would operate safely and extend the lifetime of the ESS. This is vital in order to eliminate intermittency and add value to renewable sources of power. This paper concentrates on reviewing theoretical approaches used to simulate the operating temperatures of ESS and the subsequent endeavours of modelling thermal management systems for these systems. The intent of this review is to present some of the different methods of modelling the thermal behaviour of ESS highlighting the advantages and disadvantages of each approach. OPEN ACCESSEnergies 2015, 8 10154

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“…Useful tool for system design optimisation for example as applied in [80][81][82][83][84][85]. [29].…”

Section: Discussionmentioning

confidence: 99%

Section: Other Numerical Thermal Model Applicationsmentioning

confidence: 99%

Section: Other Numerical Thermal Model Applicationsmentioning

confidence: 99%

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Theoretical Modelling Methods for Thermal Management of Batteries

Shabani¹,

Biju²

2015

Energies

108

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“…However, Li‐ion battery cells are sensitive to ambient temperature . To ensure its safety and performance, Li‐ion battery cells' temperature should be maintained within the appropriate range (20°C‐40°C) . Inconsistency between single cells limits the actual available capacity, voltage, and other performance parameters, and the overheating of one cell also speeds up the other cells' temperature rising .…”

Section: Introductionmentioning

confidence: 99%

An experimental investigation of liquid cooling scheduling for a battery module

et al. 2020

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Summary The thermal safety of electric vehicle battery modules attracts public concern; controlling the severe temperature rise and ensuring uniform temperature distribution are essential to addressing this problem. In this research, a liquid cooling‐based cooling structure equipped with minichannels is proposed to prevent a battery module's overheating. A novel cooling scheduling study is proposed to arrange the coolant flow rates at different cooling stages. The temperature rise, temperature difference, and energy consumption of all the cooling schedules are measured in experiments. Experimental findings indicate that appropriate cooling scheduling achieves the thermal objectives and reduces energy consumption through scheduling the coolant flow rate in the cooling process. A comprehensive cooling schedule selection is carried out to select the optimal cooling schedule with the highest cooling efficiency through evaluating both the thermal and energy consumption objective parameters under different discharging current rates (0.5C, 1C, and 1.5C). The optimal cooling schedule maintains the maximum temperature of the battery module within 26°C, 32°C, and 40°C under 0.5C, 1C, and 1.5C discharging current rates, respectively. Moreover, the temperature SD and the energy consumption of the liquid cooling‐based battery pack can be controlled within 3.5°C and 40 J, respectively.

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“…Experimental investigation of thermal management of an electric vehicle using heat pipe has been carried out . A few research papers have utilized finite element simulations to investigate the thermal performance of a battery pack . Numerical modeling of battery pack of laptops by using phase change material has been carried out, and expanded graphite has been impregnated in the phase change material to improve thermal conductivity …”

Section: Introductionmentioning

confidence: 99%

Experimental and numerical investigation of heat transfer in Li‐ion battery pack of a hoverboard

2019

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Summary Li‐ion cells are used for energy storage and conversion in electric vehicles and a variety of consumer devices such as hoverboards. Performance and safety of such devices are severely affected by overheating of Li‐ion cells in aggressive operating conditions. Multiple recent fires and accidents in hoverboards are known to have originated in the battery pack of the hoverboard. While thermal analysis and measurements have been carried out extensively on large battery packs for electric vehicles, there is relatively lesser research on smaller devices such as hoverboards, where the extremely limited thermal management design space and the critical importance of user safety result in severe thermal management challenges. This paper presents experimental measurements and numerical analysis of a novel approach for thermal management of the battery pack of a hoverboard. Measurements indicate that temperature rise in cells in the pack can be as large as 30°C at 4C discharge rate, which, although unlikely to be a standard discharge rate, may result from a malfunction or accident. A novel thermal management approach is investigated, wherein careful utilization of air flow generated by hoverboard motion is shown to result in significant temperature reduction. Measurements also indicate the key role of the metal housing around the battery pack in thermal management. Measurements are found to be in good agreement with finite element simulations, which indicate that the battery pack can be cooled as effectively in presence of a perforated metal casing as without the casing at all. Experimental data and simulation model presented here offer critical insights into the design of hoverboard thermal management and may result in safer, high performance hoverboard battery packs.

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Numerical analyses on optimizing a heat pipe thermal management system for lithium-ion batteries during fast charging

Cited by 304 publications

References 34 publications

Theoretical Modelling Methods for Thermal Management of Batteries

Theoretical Modelling Methods for Thermal Management of Batteries

An experimental investigation of liquid cooling scheduling for a battery module

Experimental and numerical investigation of heat transfer in Li‐ion battery pack of a hoverboard

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