Research on control strategy of hybrid electric vehicle air conditioning based on disturbance feedforward compensation

The air conditioning system of a hybrid vehicle has an important impact on the comfort and energy utilization of the vehicle. Based on AMESim platform and Simulink software, this paper builds a simulation model of the air conditioning system and passenger compartment of a hybrid vehicle, and investigates the effects of three different control strategies such as PID control, fuzzy control, and fuzzy control with the introduction of feed-forward link on the temperature drop in the passenger compartment and the energy efficiency of the whole vehicle. The results show that the fuzzy control with feed-forward link has the shortest temperature drop response time and strong stability, and the vehicle energy efficiency ratio (COP) under PID control, fuzzy control, and fuzzy control with feed-forward link are 1.79, 1.83, and 1.86, respectively, which indicates that the fuzzy control with feed-forward link improves the energy utilization efficiency effectively.

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Publication Details

Published
2025-06-30
DOI
https://doi.org/10.1117/12.3067079
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
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article

Research on control strategy of hybrid electric vehicle air conditioning based on disturbance feedforward compensation

Qiurui Cai, MO Yi-min
Electric and Hybrid Vehicle Technologies
article

Research on control strategy of hybrid electric vehicle air conditioning based on disturbance feedforward compensation

Qiurui Cai, MO Yi-min
article en

Abstract

The air conditioning system of a hybrid vehicle has an important impact on the comfort and energy utilization of the vehicle. Based on AMESim platform and Simulink software, this paper builds a simulation model of the air conditioning system and passenger compartment of a hybrid vehicle, and investigates the effects of three different control strategies such as PID control, fuzzy control, and fuzzy control with the introduction of feed-forward link on the temperature drop in the passenger compartment and the energy efficiency of the whole vehicle. The results show that the fuzzy control with feed-forward link has the shortest temperature drop response time and strong stability, and the vehicle energy efficiency ratio (COP) under PID control, fuzzy control, and fuzzy control with feed-forward link are 1.79, 1.83, and 1.86, respectively, which indicates that the fuzzy control with feed-forward link improves the energy utilization efficiency effectively.

Wuhan University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 85%
Electric and Hybrid Vehicle Technologies
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Research on control strategy of hybrid electric vehicle air conditioning based on disturbance feedforward compensation — Qiurui Cai, MO Yi-min · (2025) | TGRS Research Map | TGRS