Optimised fuzzy control strategy applied to parallel hybrid electric vehicle

被引：0
|
作者：
Boujneh, Mariem [1 ]
Majdoub, Nesrine [1 ]
Ladhari, Taoufik [1 ]
Sakly, Anis [1 ]
机构：
[1] Univ Monastir, Natl Sch Engineers Monastir ENIM, Res Lab Automat Electrotech Syst & Environm LAS2E, Ave Ibn El Jazzar, Monastir 5019, Tunisia
来源：
JOURNAL OF CONTROL AND DECISION | 2024年
关键词：
Hybrid vehicle; control strategy; fuzzy controller; PSO; ENERGY MANAGEMENT STRATEGY;
D O I：
10.1080/23307706.2024.2403497
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
As the Hybrid Electric Vehicle (HEV) includes at least two energy sources, appropriate control of these energy components is necessary to maximise the efficiency of the HEV, which is the purpose of the HEV control strategy. This paper describes a Particle Swarm Optimization (PSO)-Fuzzy control approach applied to HEV with parallel configuration. This approach employs a fuzzy controller, wherein the parameters of the Membership Functions (MFs) are fine-tuned using the PSO algorithm. The primary goal is to reduce energy consumption with consideration of battery State of Charge (SoC) maintenance. The effectiveness of this strategy will be proven by simulations under a variety of driving cycles.
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页数：15
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