Supervisor of Master's Candidates
Name (Simplified Chinese): 吴慕遥
Name (Pinyin): wumuyao
Date of Birth: 1995-12-08
E-Mail:
Date of Employment: 2022-12-27
School/Department: 车辆工程系
Education Level: With Certificate of Graduation for Doctorate Study
Business Address: 安徽省合肥市屯溪路193号合肥工业大学格物楼515
Gender: Male
Degree: Doctoral Degree in Engineering
Professional Title: Lecturer
Status: Employed
Alma Mater: 中国科学技术大学
Supervisor of Master's Candidates
Discipline: Automobile Engineering
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基于CNN-GRU-注意力的锂离子电池SOC估计
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Impact Factor:1.56
DOI number:10.19535/j.1001-1579.2026.01.019
Journal:电池
Key Words:锂离子电池；荷电状态(SOC)；卷积神经网络(CNN)；门控循环单元(GRU)；注意力机制；特征双准则；混合网络
Abstract:锂离子电池内部电化学反应复杂,外部应用场景随机多变,使得车载锂离子电池 SOC 估计的准确性低、鲁棒性弱。提出一种基于卷积神经网络(CNN)-门控循环单元(GRU)-注意力机制混合网络的车载锂离子电池 SOC 估计方法。首先，进行实车数据预处理,获取可用的放电片段；然后，采用皮尔逊-斯皮尔曼特征双准则分析，选择出3个与SOC具有强相关性的简单特征作为混合网络的输入；最后，构建混合网络,并分别在北方和南方地区的实车运行数据上进行测试。实验结果表明，SOC估计的平均绝对误差与均方根误差均小于1. 6%，验证了该方法的可行性与有效性。
Note:北大核心期刊
Co-author:刘思懿,郭子旭,李子涵
First Author:程思涵
Indexed by:Journal paper
Correspondence Author:吴慕遥
Discipline:Engineering
Document Type:J
Volume:56
Issue:1
Page Number:131-135
ISSN No.:1001-1579
Translation or Not:no
Date of Publication:2026-02-25
Links to published journals:https://kns.cnki.net/kcms2/article/abstract?v=zO3wb1M9ekw4VY6nwj4I4NG4lP4W4J6vR6uC1v_zBO5eil8fSiNKctkJjzcc5FDWYIBtwxzzBDVyzE3EfPVu8YYryHMiUchXAEUCveqWSGlL778-r2WpUsmqUBsoXwIE_Ptqa3deJHfVPhEfP67dRxqmTw
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