DOI: https://doi.org/10.61435/ijred.2024.60463

Adaptive control of plug-in hybrid electric vehicles based on energy management strategy and dynamic programming algorithm

College of Mechanical and Electrical Engineering, Central South University of Forestry and Technology, Changsha, 410004, China

Received: 12 Jul 2024; Revised: 26 Sep 2024; Accepted: 7 Oct 2024; Available online: 16 Oct 2024; Published: 1 Nov 2024.
Editor(s): H Hadiyanto
Open Access Copyright (c) 2024 The Author(s). Published by Centre of Biomass and Renewable Energy (CBIORE)
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Abstract

This study mainly analyses the fuel consumption of plug-in hybrid vehicles during operation. A new control method for automobiles based on energy management strategy and dynamic programming algorithm is proposed. The new method plans and analyses the minimum electricity consumption, and then uses dynamic programming algorithms to analyse this parameter. The research results indicated that the vehicle state was constantly changing with the variation of SOC value during driving. The energy mobilization of the vehicle was more obvious after adding dynamic programming strategy. The efficiency of the vehicle was relatively high in driving state 1, with a minimum value of 70%, which was about 20% higher than in driving state 4. The average fuel consumption in driving state 2 was 1.8L higher than in other driving states. The overall efficiency of automobiles after incorporating dynamic programming was improved, with a shorter time to reach the lowest efficiency point compared with not incorporating dynamic programming algorithms. The highest efficiency value was 7.86% higher than that of not incorporating dynamic programming models. The new control method can reduce energy consumption and improve the energy management and control effect. The study provides a better research direction for energy management and control of hybrid electric vehicles in the future.

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Keywords: Electric vehicles; Consumption; DP algorithm; Energy management; Control; efficiency

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Section: Original Research Article
Language : EN
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