Advancements in battery thermal management for electric vehicles: Types, technologies, and control strategies including deep learning methods

IF 6 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Ain Shams Engineering Journal Pub Date : 2024-06-21 DOI:10.1016/j.asej.2024.102908

Ziad M. Ali , Francisco Jurado , Foad H. Gandoman , Martin Ćalasan

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引用次数: 0

Abstract

As electric vehicles (EVs) become more commonplace, the development and deployment of advanced battery thermal management (BTM) technologies are vital for increasing the sturdiness of EV batteries, ultimately contributing to the sustainable and massive adoption of electric mobility. This study comprehensively evaluates new advancements in BTM systems for EVs, supplemented with a comparative evaluation of various BTM technologies, including active and passive cooling strategies, structure design, and advanced control algorithms, including deep learning methods. The study also scrutinizes the software’s capabilities employed for designing BTM systems. The cross-relevant papers related to BTM systems from 2019 to early 2024, which rely on Scopus and Web of Science databases, are considered. The comparative evaluation explores the strengths and obstacles of different BTM processes, shedding light on their efficacy under varying operational conditions. Additionally, this study discusses the impact of BTM on overall EV efficiency from the perspective of thermal considerations. Insights into current research trends, innovations, and emerging trends in the field are also presented. Ultimately, this state-of-the-art study aims to thoroughly understand the latest BTM for EVs. The findings offer insightful information for scientists, engineers, and professionals pursuing sustainable transportation development and the continuous enhancement of EV technology.

查看原文本刊更多论文

电动汽车电池热管理的进展：类型、技术和控制策略，包括深度学习方法

随着电动汽车（EV）的普及，先进电池热管理（BTM）技术的开发和应用对提高电动汽车电池的坚固性至关重要，最终将有助于电动汽车的可持续和大规模应用。本研究全面评估了电动汽车 BTM 系统的新进展，并对各种 BTM 技术进行了比较评估，包括主动和被动冷却策略、结构设计和高级控制算法（包括深度学习方法）。本研究还对设计 BTM 系统所使用的软件功能进行了仔细审查。研究考虑了 2019 年至 2024 年初与 BTM 系统相关的交叉相关论文，这些论文依赖于 Scopus 和 Web of Science 数据库。比较评估探讨了不同 BTM 流程的优势和障碍，揭示了它们在不同运行条件下的功效。此外，本研究还从热学角度探讨了 BTM 对电动汽车整体效率的影响。本研究还深入探讨了该领域当前的研究趋势、创新和新兴趋势。最终，这项最先进的研究旨在全面了解电动汽车的最新 BTM。研究结果为追求可持续交通发展和不断提高电动汽车技术的科学家、工程师和专业人士提供了具有洞察力的信息。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Ain Shams Engineering Journal Engineering-General Engineering

CiteScore

10.80

自引率

13.30%

发文量

441

审稿时长

49 weeks

期刊介绍： in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance. Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.