New Filter-based Supervised Learning Approach for State of Charge Estimation of Li-Ion Battery for EV Applications-Reference-Cited by-同舟云学术

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New Filter-based Supervised Learning Approach for State of Charge Estimation of Li-Ion Battery for EV Applications

Published:2023-12-07 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Modeling, Simulation & Intelligent Computing (MoSICom)
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Author:

Rizwan M.¹,Kumar Deepak¹,Panwar Amrish K.²

Affiliation:

1. Delhi Technological University,Centre of Excellence for Electrical Vehicles and Related Technologies,Department of Electrical Engineering,Delhi,India

2. Delhi Technological University,Lithium-Ion Battery Technology Laboratory,Department of Applied Physics,Delhi,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10458705/10458718/10458745.pdf?arnumber=10458745

Reference23 articles.

1. Ten threats to global health in 2019

2. State-of-Charge Estimation of Li-Ion Battery in Electric Vehicles: A Deep Neural Network Approach

3. State of Charge and State of Health Estimation for Lithium Batteries Using Recurrent Neural Networks

4. Battery-Management System (BMS) and SOC Development for Electrical Vehicles

5. Storage technologies for electric vehicles

Cited by 1 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 Approach for State of Health Estimation of Lithium-Ion Batteries Based on Improved PSO Neural Network Model;Processes;2024-08-26

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