Data Analytics for Core Temperature Estimation in Battery Management System for Electric and Hybrid Vehicles-Reference-Cited by-同舟云学术

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Data Analytics for Core Temperature Estimation in Battery Management System for Electric and Hybrid Vehicles

Published:2023-06-15 Issue: Volume: Page:
ISSN:
Container-title:2023 5th International Conference on Energy, Power and Environment: Towards Flexible Green Energy Technologies (ICEPE)
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Author:

Chhetri Ahilya¹,Surya Sumukh²,S Mohan Krishna³,Rao Vidya⁴

Affiliation:

1. Cactus Communications,Engineering and Technology,Mumbai,India

2. Bosch Global Software Technologies Pvt. Limited,Bengaluru,India

3. ACED, Alliance University,Department of Electrical and Electronics Engineering,Bengaluru,India

4. Manipal Institute of Technology, Manipal Academy of Higher Education,Department of Data Science and Computer Applications,Manipal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10201476/10201477/10201536.pdf?arnumber=10201536

Reference22 articles.

1. Adaptive Kalman filtering based internal temperature estimation with an equivalent electrical network thermal model for hard-cased batteries

2. Accurate Battery Modeling Based on Pulse Charging using MATLAB / Simulink

3. State-of-Charge Estimation of Battery Pack under Varying Ambient Temperature Using an Adaptive Sequential Extreme Learning Machine

4. Evaluation of linear regression model;chaudhary;Medium,2020

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