NSGA-III-SD based Fuzzy energy management system optimization for lithium battery/supercapacitor HEV-Reference-Cited by-同舟云学术

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NSGA-III-SD based Fuzzy energy management system optimization for lithium battery/supercapacitor HEV

Published:2023-07 Issue: Volume:142 Page:110280
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Gao Ruibin,Tao Jili,Zhang Jingyi,Ma Longhua,Xu Ming

Funder

Natural Science Foundation of Zhejiang Province

Science and Technology Innovation 2025 Major Project of Ningbo

Ningbo Municipal Science and Technology Innovative Research Team

Publisher

Elsevier BV

Subject

Software

Reference41 articles.

1. Thermal transport in lithium-ion battery: A micro perspective for thermal management;Xiang;Front. Phys.,2022

2. Regenerative braking control strategy of an electro-hydraulic hybrid brake system;Hu;J. Highw. Transp. Res. Dev. (Engl. Ed.),2015

3. A real-time energy management control strategy for battery and supercapacitor hybrid energy storage systems of pure electric vehicles;Zhang;J. Energy Storage,2020

4. A review of hybrid electric vehicle energy management strategy based on road condition information;Meng,2021

5. Review of electric vehicle energy storage and management system: Standards, issues, and challenges;Hasan;J. Energy Storage,2021

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