Model predictive control for connected hybrid electric vehicles
type: Item
instance of: scholarly article
title: Model predictive control for connected hybrid electric vehicles
zbMATH Open document ID: 1394.93246
DOI: 10.1155/2015/318025
author: Kaijiang Yu
author: Xiaozhuo Xu
author: Qing Liang
author: Zhiguo Hu
author: Junqi Yang
author: Yanan Guo
author: Hongwei Zhang
published in: Mathematical Problems in Engineering
publication date: 2018-08-27T00:00:00Z
review text: Summary: This paper presents a new model predictive control system for connected hybrid electric vehicles to improve fuel economy. The new features of this study are as follows. First, the battery charge and discharge profile and the driving velocity profile are simultaneously optimized. One is energy management for HEV for \(P_{\mathrm{batt}}\); the other is for the energy consumption minimizing problem of acc control of two vehicles. Second, a system for connected hybrid electric vehicles has been developed considering varying drag coefficients and the road gradients. Third, the fuel model of a typical hybrid electric vehicle is developed using the maps of the engine efficiency characteristics. Fourth, simulations and analysis (under different parameters, i.e., road conditions, vehicle state of charge, etc.) are conducted to verify the effectiveness of the method to achieve higher fuel efficiency. The model predictive control problem is solved using numerical computation method: continuation and generalized minimum residual method. Computer simulation results reveal improvements in fuel economy using the proposed control method.
Mathematics Subject Classification ID: 93C95
Mathematics Subject Classification ID: 93B40
Mathematics Subject Classification ID: 49K15
Mathematics Subject Classification ID: 49N90
zbMATH DE Number: 6926050
Wikidata QID: Q59117985
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2015/318025
OpenAlex ID: W1912849581
cites work: Performance of an eco-driving model predictive control system for HEVs during car following
cites work: A-ECMS: an adaptive algorithm for hybrid electric vehicle energy management
cites work: A continuation/GMRES method for fast computation of nonlinear receding horizon control
description: scientific article; zbMATH DE number 6926050