Stochastic Dynamic Programming of Air Conditioning System for Electric Vehicles

Hongwen He; Hui Jia; Weiwei Huo; Mei Yan

doi:10.1016/j.egypro.2017.03.724

Stochastic Dynamic Programming of Air Conditioning System for Electric Vehicles

Hongwen He, Hui Jia, Weiwei Huo^*, Mei Yan

^*Corresponding author for this work

School of Mechanical Engineering

Beijing Institute of Technology

Research output: Contribution to journal › Conference article › peer-review

14 Citations (Scopus)

Abstract

Air conditioning (AC) system, as a main electricity consumption unit among the Electric vehicle (EV) auxiliary devices, has significant effects on the electricity efficiency of EVs. An energy management strategy is critical to distribute the energy more reasonable and extend the driving range. In this paper, a Stochastic Dynamic Programming (SDP) control strategy is used to optimize the electricity consumption of AC system. To study the relationship between solar radiation and electricity saving of AC system, a thermal model of the cabin and a mathematical model of AC system have been built. The electricity consumption using SDP algorithm is 10.35% less than using a rule-based controller. Additionally, the fluctuation of cabin temperature is considerably reduced with an AC system controlled by SDP.

Original language	English
Pages (from-to)	2518-2524
Number of pages	7
Journal	Energy Procedia
Volume	105
DOIs	https://doi.org/10.1016/j.egypro.2017.03.724
Publication status	Published - 2017
Event	8th International Conference on Applied Energy, ICAE 2016 - Beijing, China Duration: 8 Oct 2016 → 11 Oct 2016

Keywords

Air Conditioning System
Electric Vehicle
Electricity Consumption
Optimal Control
Stochastic Dynamic Programming

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.egypro.2017.03.724

Cite this

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title = "Stochastic Dynamic Programming of Air Conditioning System for Electric Vehicles",

abstract = "Air conditioning (AC) system, as a main electricity consumption unit among the Electric vehicle (EV) auxiliary devices, has significant effects on the electricity efficiency of EVs. An energy management strategy is critical to distribute the energy more reasonable and extend the driving range. In this paper, a Stochastic Dynamic Programming (SDP) control strategy is used to optimize the electricity consumption of AC system. To study the relationship between solar radiation and electricity saving of AC system, a thermal model of the cabin and a mathematical model of AC system have been built. The electricity consumption using SDP algorithm is 10.35% less than using a rule-based controller. Additionally, the fluctuation of cabin temperature is considerably reduced with an AC system controlled by SDP.",

keywords = "Air Conditioning System, Electric Vehicle, Electricity Consumption, Optimal Control, Stochastic Dynamic Programming",

author = "Hongwen He and Hui Jia and Weiwei Huo and Mei Yan",

note = "Publisher Copyright: {\textcopyright} 2017 The Authors.; 8th International Conference on Applied Energy, ICAE 2016 ; Conference date: 08-10-2016 Through 11-10-2016",

year = "2017",

doi = "10.1016/j.egypro.2017.03.724",

language = "English",

volume = "105",

pages = "2518--2524",

journal = "Energy Procedia",

issn = "1876-6102",

publisher = "Elsevier Ltd.",

}

TY - JOUR

T1 - Stochastic Dynamic Programming of Air Conditioning System for Electric Vehicles

AU - He, Hongwen

AU - Jia, Hui

AU - Huo, Weiwei

AU - Yan, Mei

PY - 2017

Y1 - 2017

N2 - Air conditioning (AC) system, as a main electricity consumption unit among the Electric vehicle (EV) auxiliary devices, has significant effects on the electricity efficiency of EVs. An energy management strategy is critical to distribute the energy more reasonable and extend the driving range. In this paper, a Stochastic Dynamic Programming (SDP) control strategy is used to optimize the electricity consumption of AC system. To study the relationship between solar radiation and electricity saving of AC system, a thermal model of the cabin and a mathematical model of AC system have been built. The electricity consumption using SDP algorithm is 10.35% less than using a rule-based controller. Additionally, the fluctuation of cabin temperature is considerably reduced with an AC system controlled by SDP.

AB - Air conditioning (AC) system, as a main electricity consumption unit among the Electric vehicle (EV) auxiliary devices, has significant effects on the electricity efficiency of EVs. An energy management strategy is critical to distribute the energy more reasonable and extend the driving range. In this paper, a Stochastic Dynamic Programming (SDP) control strategy is used to optimize the electricity consumption of AC system. To study the relationship between solar radiation and electricity saving of AC system, a thermal model of the cabin and a mathematical model of AC system have been built. The electricity consumption using SDP algorithm is 10.35% less than using a rule-based controller. Additionally, the fluctuation of cabin temperature is considerably reduced with an AC system controlled by SDP.

KW - Air Conditioning System

KW - Electric Vehicle

KW - Electricity Consumption

KW - Optimal Control

KW - Stochastic Dynamic Programming

UR - http://www.scopus.com/inward/record.url?scp=85020726863&partnerID=8YFLogxK

U2 - 10.1016/j.egypro.2017.03.724

DO - 10.1016/j.egypro.2017.03.724

M3 - Conference article

AN - SCOPUS:85020726863

SN - 1876-6102

VL - 105

SP - 2518

EP - 2524

JO - Energy Procedia

JF - Energy Procedia

T2 - 8th International Conference on Applied Energy, ICAE 2016

Y2 - 8 October 2016 through 11 October 2016

ER -

Stochastic Dynamic Programming of Air Conditioning System for Electric Vehicles

Abstract

Keywords

UN SDGs

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