An LSTM-PINN Hybrid Method to Estimate Lithium-Ion Battery Pack Temperature
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, University of Michigan–Dearborn, Dearborn, MI, USA
2. Department of Electrified System Engineering, Ford Motor Company, Allen Park, MI, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09895422.pdf?arnumber=9895422
Reference28 articles.
1. Temperature Distribution Optimization of an Air-Cooling Lithium-Ion Battery Pack in Electric Vehicles Based on the Response Surface Method
2. Internal thermal network model-based inner temperature distribution of high-power lithium-ion battery packs with different shapes for thermal management
3. Channel parameters for the temperature distribution of a battery thermal management system with liquid cooling
4. A Reduced-Order Lumped Model for Li-Ion Battery Packs during Operation
5. Estimation of Surface Temperature Distributions Across an Array of Lithium-Ion Battery Cells Using a Long Short-Term Memory Neural Network
Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A novel sequential estimation framework for battery state of health and remaining useful life based on sparse and limited data;Journal of Energy Storage;2024-10
2. Power Battery Temperature Prediction Based on Charging Strategy Classification and Improved Adaptive GA-BP;IEEE Transactions on Industrial Electronics;2024-10
3. DeepTimeNet: A novel architecture for precise surface temperature estimation of lithium-ion batteries across diverse ambient conditions;Case Studies in Thermal Engineering;2024-09
4. Deep Learning-Based Strategies for Integrated Autonomous Navigation: A Review;2024 International Telecommunications Conference (ITC-Egypt);2024-07-22
5. Variable linear transformation improved physics-informed neural networks to solve thin-layer flow problems;Journal of Computational Physics;2024-03
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3