Fault Diagnosis of Electric Vehicle’s Battery by Deploying Neural Network-Reference-Cited by-同舟云学术

Fault Diagnosis of Electric Vehicle’s Battery by Deploying Neural Network

Published:2022-11-10 Issue: Volume: Page:
ISSN:
Container-title:2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)
language:
Short-container-title:

Author:

Shete Suwarna¹,Jog Pranjal¹,Kamalakannan R.²,Raghesh J T Arun³,Manikandan S⁴,Kumawat R. K.⁵

Affiliation:

1. Career Point University,Department of Electrical Engineering,Kota,Rajasthan,India.,324005

2. S. A. Engineering College,Department of Electrical Electronic Engineering,Thiruverkadu,Tamil Nadu,India.,600077

3. Vel Tech Multi Tech Dr Rangarajan Dr Sakunthala Engineering College,Electronics and Communication Engineering,Chennai,Tamil Nadu,India.,600062

4. Karpagam Institute of Technology,Department of Electrical and Electronics Engineering,Coimbatore,Tamil Nadu,India.,641105

5. I. K. Gujral Punjab Technical University,Department of Electrical Engineering,Kapurthala,Punjab,India.,144603

Publisher

IEEE

Link

Reference17 articles.

4. A brief introduction to neural networks;kriesel,2005

Cited by 4 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

3. Fault Diagnosis and State of Charge Estimation of Battery for Electric Vehicle Applications;2023 3rd International Conference on Energy, Power and Electrical Engineering (EPEE);2023-09-15