A Micromesh Multi-Scaled Features Extraction Network for Li-Ion Batteries SOH Estimation

IF 7.1 2区计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Vehicular Technology Pub Date : 2025-02-20 DOI:10.1109/TVT.2025.3544483

Min Wang;Yitian Chen;Dongxu Guo;Zhiwei Xu

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Abstract

The great progress and wide application of electronic products and electric vehicles have entailed more stringent requirements for the reliability of lithium-ion batteries. The State of Health (SOH) serves as a significant indicator for evaluating the condition of such batteries. However existing methods are lack of refined modeling for sequences and unable to make precise estimation for SOH. In this paper, a micromesh multi-scaled features extraction network (MMFEN) is proposed for accurately estimating SOH. A refined representation block is developed for heterogeneous elaborate feature extraction. Then, a multi-head convolution attention block is constructed to capture multi-scaled efficient state information. To demonstrate the superiority of MMFEN, experiments are conducted on the NASA and CALCE data published online and a real-world electric vehicles (EVs) data set which is collected from existing battery management systems. Comparing with traditional methods, MMFEN achieves remarkable performance with average root mean square error of 1.21% and mean absolute percentage error of 0.99% on NASA samples, 2.78% and 2.71% on CALCE dataset, while 2.39% and 2.08% on EVs data set, respectively.

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用于锂离子电池SOH估计的微网格多尺度特征提取网络

电子产品和电动汽车的巨大进步和广泛应用，对锂离子电池的可靠性提出了更严格的要求。健康状况（SOH）是评估这类电池状况的重要指标。然而，现有的方法缺乏对序列的精细建模，无法对SOH进行精确估计。本文提出了一种微网格多尺度特征提取网络（MMFEN）来精确估计SOH。提出了一种用于异构精细特征提取的精细表示块。然后，构造多头卷积注意块，捕获多尺度高效状态信息；为了证明MMFEN的优越性，对在线发布的NASA和CALCE数据以及从现有电池管理系统收集的真实电动汽车（ev）数据集进行了实验。与传统方法相比，MMFEN在NASA数据集上的平均均方根误差为1.21%，平均绝对百分比误差为0.99%，在CALCE数据集上的平均绝对百分比误差为2.78%和2.71%，在ev数据集上的平均绝对百分比误差为2.39%和2.08%。

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来源期刊

IEEE Transactions on Vehicular Technology 工程技术-电信学

CiteScore

6.00

自引率

8.80%

发文量

1245

审稿时长

6.3 months

期刊介绍： The scope of the Transactions is threefold (which was approved by the IEEE Periodicals Committee in 1967) and is published on the journal website as follows: Communications: The use of mobile radio on land, sea, and air, including cellular radio, two-way radio, and one-way radio, with applications to dispatch and control vehicles, mobile radiotelephone, radio paging, and status monitoring and reporting. Related areas include spectrum usage, component radio equipment such as cavities and antennas, compute control for radio systems, digital modulation and transmission techniques, mobile radio circuit design, radio propagation for vehicular communications, effects of ignition noise and radio frequency interference, and consideration of the vehicle as part of the radio operating environment. Transportation Systems: The use of electronic technology for the control of ground transportation systems including, but not limited to, traffic aid systems; traffic control systems; automatic vehicle identification, location, and monitoring systems; automated transport systems, with single and multiple vehicle control; and moving walkways or people-movers. Vehicular Electronics: The use of electronic or electrical components and systems for control, propulsion, or auxiliary functions, including but not limited to, electronic controls for engineer, drive train, convenience, safety, and other vehicle systems; sensors, actuators, and microprocessors for onboard use; electronic fuel control systems; vehicle electrical components and systems collision avoidance systems; electromagnetic compatibility in the vehicle environment; and electric vehicles and controls.