2023
DOI: 10.1021/acs.energyfuels.2c04243
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Review on Thermal Management of Lithium-Ion Batteries for Electric Vehicles: Advances, Challenges, and Outlook

Abstract: Due to strict regulations and the requirement to reduce greenhouse gas emissions, electric vehicles (BEVs) are a promising mode of transportation. The lithium battery is the most important power source for an electric vehicle, but its performance and life are greatly restricted by temperature. To ensure the safety of automobile operation and alleviate mileage anxiety, it is urgent to understand the current situation and predict the development and challenge of battery thermal management system. This work revie… Show more

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Cited by 28 publications
(12 citation statements)
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“…Dependent upon the battery generation, the structure, and the shape of each type of battery module and pack, many types of thermal management systems have been researched and developed, including liquid cooling, air cooling, heat pipes, phase change materials (PCMs), and hybrids of these techniques (Figure ). …”
Section: Early Warning For Prediction Of Thermal Runawaymentioning
confidence: 99%
“…Dependent upon the battery generation, the structure, and the shape of each type of battery module and pack, many types of thermal management systems have been researched and developed, including liquid cooling, air cooling, heat pipes, phase change materials (PCMs), and hybrids of these techniques (Figure ). …”
Section: Early Warning For Prediction Of Thermal Runawaymentioning
confidence: 99%
“…27−29 Battery thermal management systems can be divided into active BTMS and passive BTMS. 30 BTMS removes the heat from the battery through the heat exchange medium, such as air, liquid, etc., to achieve the purpose of cooling the battery. The air-cooling thermal management system has the characteristics of simple structure, lightweightness, low energy consumption, and easy maintenance, 31 and its technology is well-established and has been applied in commercial vehicles, such as the Nissan Leaf, Toyota Prius, etc.…”
Section: Introductionmentioning
confidence: 99%
“…The equivalent circuit model consists of an ideal voltage source, resistance, and parallel-coupled resistance–capacitance pairs, among other simple circuit components. This model can simulate the dynamic characteristics of the battery and allows for parameter identification due to its fewer model parameters. However, the equivalent circuit unit employed in this model does not correspond to the internal structure of the battery, making it difficult to accurately reveal and reflect the electrochemical reactions inside the battery. The neural network model, operating in a black-box modeling mode, does not rely on the internal chemical reactions of the lithium-ion battery. Instead, it conducts structure training by directly utilizing the external characteristic parameters of the battery as network inputs until the network output error meets the required precision .…”
Section: Introductionmentioning
confidence: 99%