A Method of Developing Quantile Convolutional Neural Networks for Electric Vehicle Battery Temperature Prediction Trained on Cross-Domain Data
Author:
Affiliation:
1. Institute of Vehicle System Technology, Karlsruhe Institute of Technology, Karlsruhe, Germany
Funder
KIT-Publication Fund of the Karlsruhe Institute of Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/8784355/9680328/09779862.pdf?arnumber=9779862
Reference70 articles.
1. Machine learning on big data: Opportunities and challenges
2. Machine Learning With Big Data: Challenges and Approaches
3. Challenges for MapReduce in Big Data
4. Concept Review of a Cloud-Based Smart Battery Management System for Lithium-Ion Batteries: Feasibility, Logistics, and Functionality
Cited by 12 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. Advancements in battery thermal management for electric vehicles: Types, technologies, and control strategies including deep learning methods;Ain Shams Engineering Journal;2024-09
2. Improved Quantile Convolutional and Recurrent Neural Networks for Electric Vehicle Battery Temperature Prediction;Big Data Mining and Analytics;2024-06
3. Extended Deep Learning Model to Predict the Electric Vehicle Motor Operating Point;SAE Technical Paper Series;2024-04-09
4. Smart Energy: Artificial Intelligence (AI) in Charging and Battery Management Systems;2024 5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV);2024-03-11
5. Battery Temperature Prediction Using an Adaptive Neuro-Fuzzy Inference System;Batteries;2024-03-01
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