State of Charge Estimation and Circuit Implementation for Lithium Battery Based on the Elman Neural Network Algorithm
Author:
Affiliation:
1. National Central University,Department of Electrical Engineering,Taoyuan City,Taiwan R.O.C,320
2. Chang Gung University,Department of Electronics Engineering,Taoyuan City,Taiwan R.O.C,333
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10582548/10582512/10582647.pdf?arnumber=10582647
Reference16 articles.
1. Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles
2. State-of-Charge Estimation of Li-Ion Battery in Electric Vehicles: A Deep Neural Network Approach
3. Elman neural network using ant colony optimization algorithm for estimating of state of charge of lithium-ion battery
4. Short-term prediction for opening price of stock market based on self-adapting variant PSO-Elman neural network
5. Battery state-of-charge estimation in electric vehicle using elman neural network method;Shi
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