A reliability design method for a lithium-ion battery pack considering the thermal disequilibrium in electric vehicles

Qin, Xia; Wang, Zili; Ren, Yi

doi:10.1016/j.jpowsour.2018.03.036

Cited by 96 publications

(58 citation statements)

References 41 publications

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“…The average thermo‐physical properties such as density, specific heat capacity, and thermal conductivity are crucial for results precision. Some researchers use the average data of the core region to stand for the whole battery cell . It may be not rational for hard‐cased Li‐ion batteries because apart from the core region, there are also aluminum housing and insulation components that may have impacts.…”

Section: Simplified Thermal Modelsmentioning

confidence: 99%

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Simplification strategy research on hard‐cased Li‐ion battery for thermal modeling

Xifeng

Zeng²,

Hong-liang

et al. 2020

Int J Energy Res

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Summary Numerical simulation is widely used in research and design of the battery thermal management system (BTMS). Battery cells are commonly homogenized to a block for module or pack level modeling. However, how the homogenization method affects results is not proven. This paper works on a hard‐cased Li‐ion battery to find a proper simplification method. First, a detailed three‐dimensional thermal model (model A) is set up and validated by experimental data. Then, the other three models with different simplification strategies are proposed. They are model B (the cell is homogenized to a block), model C (the cell preserves only core region and housing case), and model D (based on model C, the thin insulation films are also considered). Take the results of model A as a reference, the calculation accuracy and efficiency are summarized. It is found that model B shows the best efficiency and is a proper choice for evaluation of temperature dynamics, while model D is more recommended when the internal temperature distribution of the battery is more concerned.

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Section: Simplified Thermal Modelsmentioning

confidence: 99%

“…Some researchers use the average data of the core region to stand for the whole battery cell. 59,60 It may be not rational for hard-cased Li-ion batteries because apart from the core region, there are also aluminum housing and insulation components that may have impacts.…”

Section: Thermal Model Bmentioning

confidence: 99%

Simplification strategy research on hard‐cased Li‐ion battery for thermal modeling

Xifeng

Zeng²,

Hong-liang

et al. 2020

Int J Energy Res

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“…To achieve a higher reliability, the vehicle system must be designed with reliable components. Among all the parts, the battery's reliability is the most sensitive to the reliability of a PEV [11]. The vehicle's protective schemes must also fulfill the minimum reliability criteria to ensure safety to the personnel.…”

Section: Introductionmentioning

confidence: 99%

An Approach to Reliability, Availability and Maintainability Analysis of a Plug-In Electric Vehicle

Talukdar¹,

Deka²

2021

WEVJ

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Electric vehicle technologies have seen rapid development in recent years. However, Reliability, Availability, and Maintainability (RAM) related concerns still have restricted large-scale commercial utilization of these vehicles. This paper presents an approach to carry out a quantitative RAM analysis of a plug-in electric vehicle. A mathematical model is developed in the Markov Framework incorporating the reliability characteristics of all significant electrical components of the vehicle system, namely battery, motor, drive, controllers, charging unit, and energy management unit. The study shows that the vehicle’s survivability can be increased by improving its components’ restoration rates. The paper also investigates the role of a charging station on the availability of the vehicle. It illustrates how the grid power supply’s reliability influences the operational effectiveness of a plug-in electric vehicle. The concepts that are presented in the article can support further study on the reliability design and maintenance of a plug-in electric vehicle.

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“…However, there is yet to have any theory which could be applied in justifying the arrangement pattern of cells, thus, researchers generally rationalize it with iteration method 21 . Despite all, the cells' arrangement will be focused and investigated in this study.…”

Section: Introductionmentioning

confidence: 99%

Multidisciplinary optimal design of prismatic lithium‐ion battery with an improved thermal management system for electric vehicles

Tak

Chin

et al. 2021

Energy Storage

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The reliability and performance of lithium‐ion battery implemented in electric vehicles is greatly influenced by temperature. However, there is yet to have a systematic battery thermal strategy due to the poor understanding of battery thermal behavior. Although several heat management systems have been proven to be functional in regulating the operating temperature effectively, its capability would be overtaken by the escalating internal resistance due to ageing after a certain period. Hence, an integration of finite element method (FEM) with particle swarm optimization (PSO) approach is proposed, more specifically for phase change material‐based cooling system, by performing multiobjective optimization of battery pack volume and temperature effects. As such, the multidisciplinary design optimization is considered level by level for the battery pack in order to prevent premature ageing. After justifying the lithium‐ion composition, the prismatic battery pack is modeled parametrically and its thermal responses assessed using FEM. The dimension and arrangement of battery cells are assigned as design variables and constrained in a fixed range, which will then be iterated through online optimization whereby the temperature difference, SD and volume are objectives and minimized by using PSO algorithm. The optimization results are summarized: maximum temperature difference is 0.8208383 K, SD is 0.17239 K, and area is 53 082 cm3. The results also imply that the numbers and columns for cells have a significant impact on the effectiveness of heat transfer which may be correlated to its cell dimension.

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A reliability design method for a lithium-ion battery pack considering the thermal disequilibrium in electric vehicles

Cited by 96 publications

References 41 publications

Simplification strategy research on hard‐cased Li‐ion battery for thermal modeling

Simplification strategy research on hard‐cased Li‐ion battery for thermal modeling

An Approach to Reliability, Availability and Maintainability Analysis of a Plug-In Electric Vehicle

Multidisciplinary optimal design of prismatic lithium‐ion battery with an improved thermal management system for electric vehicles

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