Research on speed optimization strategy of hybrid electric vehicle queue based on particle swarm optimization
type: Item
instance of: scholarly article
title: Research on speed optimization strategy of hybrid electric vehicle queue based on particle swarm optimization
zbMATH Open document ID: 1427.90101
DOI: 10.1155/2018/6483145
author: Shaohua Wang
author: Chengquan Yu
author: Dehua Shi
author: Xiaoqiang Sun
published in: Mathematical Problems in Engineering
publication date: 2019-02-08T00:00:00Z
review text: Summary: Traffic lights intersections are common in cities and have an impact on the energy consumption of vehicles, so it is significant to optimize the velocities of vehicles in urban road conditions. The novel speed optimization strategy for hybrid electric vehicle (HEV) queue that helps reduce fuel consumption and improve traffic efficiency is presented in this paper, where real-world traffic signal information is used to construct the research scenario. The initial values of the target velocities are obtained based on the signal phase and timing (SPAT). Then the particle swarm optimization (PSO) algorithm is used to solve the nonlinear constrained problem and obtain the optimal target velocities based on vehicle to vehicle communication (V2V) and vehicle to infrastructure communication (V2I). The lower controller, which applies rule based control strategy, is designed to split the power of the engine and two electric motors in a power split HEV, which is quite promising because of its advantages in fuel economy. Simulation results demonstrate the superior performance of the proposed strategy in reducing fuel consumption of the HEV queue and improving traffic smoothness.
Mathematics Subject Classification ID: 90B22
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 7019309
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2018/6483145
OpenAlex ID: W2896915653
cites work: Eco-driving in urban traffic networks using traffic signals information
cites work: Model predictive control for connected hybrid electric vehicles
cites work: A comprehensive survey on particle swarm optimization algorithm and its applications
cites work: Lateral stability control of four-wheel independent drive electric vehicles based on model predictive control
Wikidata QID: Q129060144
description: scientific article; zbMATH DE number 7019309