State of charge prediction of EV Li-ion batteries using EIS: A machine learning approach

Author:

Babaeiyazdi Iman,Rezaei-Zare AfshinORCID,Shokrzadeh Shahab

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference32 articles.

1. An evolutionary framework for lithium-ion battery state of health estimation;Cai;J Power Sources,2019

2. Estimating the state-of-charge of lithium-ion battery using an H-infinity observer based on electrochemical impedance model;Chen;IEEE Access,2020

3. A statistical algorithm for predicting the energy storage capacity for baseload wind power generation in the future electric grids;Shokrzadeh;Energy,2015

4. Fast charging systems to enable electrification of Transportation : an operational constrained based analysis;Babaeiyazdi,2019

5. State of charge estimation of lithium-ion batteries using hybrid machine learning technique;Sidhu,2019

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