Battery Thermal Runaway Fault Prognosis in Electric Vehicles Based on Abnormal Heat Generation and Deep Learning Algorithms-Reference-Cited by-同舟云学术

Battery Thermal Runaway Fault Prognosis in Electric Vehicles Based on Abnormal Heat Generation and Deep Learning Algorithms

Published:2022-07 Issue:7 Volume:37 Page:8513-8525
ISSN:0885-8993
Container-title:IEEE Transactions on Power Electronics
language:
Short-container-title:IEEE Trans. Power Electron.

Author:

Li Da¹,Liu Peng¹^ORCID,Zhang Zhaosheng¹,Zhang Lei¹^ORCID,Deng Junjun¹^ORCID,Wang Zhenpo¹^ORCID,Dorrell David G.²^ORCID,Li Weihan³^ORCID,Sauer Dirk Uwe³^ORCID

Affiliation:

1. Collaboration Innovation Center for Electric Vehicles in Beijing, Beijing, China

2. University of the Witwatersrand, Johannesburg, South Africa

3. RWTH Aachen University, Aachen, Germany

Funder

Ministry of Science and Technology of the People’s Republic of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/63/9743201/09709666.pdf?arnumber=9709666

Reference72 articles.

1. High fidelity electrical model with thermal dependence for characterization and simulation of high power lithium battery cells

2. Evaluation of Lithium-Ion Battery Equivalent Circuit Models for State of Charge Estimation by an Experimental Approach

3. A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection

4. Convolutional LSTM network: A machine learning approach for precipitation nowcasting;shi;Proc 29th Conf Neural Inf Process Syst,2015

5. 3D CNN-Based Speech Emotion Recognition Using K-Means Clustering and Spectrograms

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