Advanced Intelligent approach for state of charge estimation of lithium-ion battery-Reference-Cited by-同舟云学术

Advanced Intelligent approach for state of charge estimation of lithium-ion battery

Published:2023-08-23 Issue:4 Volume:45 Page:10661-10681
ISSN:1556-7036
Container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
language:en
Short-container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Author:

Kumar Deepak¹²,Rizwan M.¹^ORCID,Panwar Amrish K.²

Affiliation:

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

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

Funder

research by funding agencies/organizations

Publisher

Informa UK Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/15567036.2023.2249427

Reference65 articles.

1. Fault classification using deep learning based model and impact of dust accumulation on solar photovoltaic modules

2. Accuracy improvement of SOC estimation in lithium-ion batteries

3. Robust state-of-charge estimation of Li-ion batteries based on multichannel convolutional and bidirectional recurrent neural networks

4. State of Charge Estimation using Recurrent Neural Networks with Long Short-Term Memory for Lithium-Ion Batteries

5. Luenberger-based State-Of-Charge evaluation and experimental validation with lithium cells

Cited by 2 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. Integrating electric vehicles into hybrid microgrids: A stochastic approach to future-ready renewable energy solutions and management;Energy;2024-09

2. New Filter-based Supervised Learning Approach for State of Charge Estimation of Li-Ion Battery for EV Applications;2023 International Conference on Modeling, Simulation & Intelligent Computing (MoSICom);2023-12-07