A multi-time-scale framework for state of energy and maximum available energy of lithium-ion battery under a wide operating temperature range-Reference-Cited by-同舟云学术

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A multi-time-scale framework for state of energy and maximum available energy of lithium-ion battery under a wide operating temperature range

Published:2024-02 Issue: Volume:355 Page:122225
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Chen Lei,Wang Shunli,Jiang Hong,Fernandez Carlos

Funder

Sichuan Province Science and Technology Support Program

National Natural Science Foundation of China

Natural Science Foundation of Sichuan Province

Robert Gordon University

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference32 articles.

1. Comparative research on RC equivalent circuit models for lithium-ion batTERIES of electric vehicles;Zhang;Appl Sci,2017

2. Battery aging assessment for real-world electric buses based on incremental capacity analysis and radial basis function neural network;She;IEEE Trans Industr Inform,2020

3. On-line adaptive asynchronous parameter identification of lumped electrical characteristic model for vehicle lithium-ion battery considering multi-time scale effects;Shi;J Power Sources,2022

4. Open-circuit voltage-based state of charge estimation of Lithium-ion battery using dual neural network fusion battery model;Dang;Electrochim Acta,2016

5. Multi-timescale power and energy assessment of lithium-ion battery and supercapacitor hybrid system using extended Kalman filter;Wang;J Power Sources,2018

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1. A deep learning model for predicting the state of energy in lithium-ion batteries based on magnetic field effects;Energy;2024-09

2. A hybrid algorithm for the state of energy estimation of lithium-ion batteries based on improved adaptive-forgotten-factor recursive least squares and particle swarm optimized unscented particle filtering;Ionics;2024-07-20

3. An improved forgetting factor recursive least square and extended particle filtering algorithm for accurate lithium-ion battery state of energy estimation;Ionics;2024-07-19

4. In Situ Constructed NiFe-LDH@Ti₃C₂T_x with a Three-Dimensional Network Structure: Enhanced Li⁺/Na⁺ Storage via an Oxygen Bridge;Energy & Fuels;2024-06-17

5. Enhancing the kinetic lithium insertion in Li4Ti5O12 by introducing anatase TiO2;Journal of Electroanalytical Chemistry;2024-03

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