Multi-objective optimization for fast charging design of lithium-ion batteries using constrained Bayesian optimization-Reference-Cited by-同舟云学术

Multi-objective optimization for fast charging design of lithium-ion batteries using constrained Bayesian optimization

Published:2023-11 Issue: Volume:584 Page:233602
ISSN:0378-7753
Container-title:Journal of Power Sources
language:en
Short-container-title:Journal of Power Sources

Author:

Wang Xizhe,Jiang Benben^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Physical and Theoretical Chemistry,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference42 articles.

1. Batteries and fuel cells for emerging electric vehicle markets;Cano;Nat. Energy,2018

2. Lithium-ion battery fast charging: a review;Tomaszewska;ETransportation,2019

3. Offline multiobjective optimization for fast charging and reduced degradation in lithium-ion battery cells using electrochemical dynamics;Lam;IEEE Control Syst. Lett.,2020

4. Non-destructive fast charging algorithm of lithium-ion batteries based on the control-oriented electrochemical model;Chu;Appl. Energy,2017

5. User-involved charging control for lithium-ion batteries with economic cost optimization;Ouyang;Appl. Energy,2022

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1. Advanced Integrated Fast-Charging Protocol for Lithium-Ion Batteries by Considering Degradation;ACS Sustainable Chemistry & Engineering;2024-04-13

2. Research on Optimization of Valley-Filling Charging for Vehicle Network System Based on Multi-Objective Optimization;Sustainability;2023-12-20

3. Online Fast Charging Model without Lithium Plating for Long-Dimensional Cells in Automotive Applications;Batteries;2023-11-22