DISTRIBUTED MODEL PREDICTIVE CONTROLLER FOR THERMAL ENERGY MANAGEMENT SYSTEM OF BATTERY ELECTRIC VEHICLES

被引：0

作者：

Lokur, Prashant ^{[1
,2
]}

Murgovski, Nikolce ^{[1
]}

Nicklasson, Kristian ^{[2
]}

机构：

[1] Chalmers Univ Technol, Dept Elect Engn, S-41296 Gothenburg, Sweden

[2] China Euro Vehicle Technol AB, Dept Thermal Energy Management, S-41755 Gothenburg, Sweden

来源：

2023 62ND IEEE CONFERENCE ON DECISION AND CONTROL, CDC | 2023年

关键词：

CLIMATE; STRATEGIES; RANGE;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes a distributed model predictive controller (DMPC) that utilizes the alternating direction method of multipliers for the thermal energy management system of a battery electric vehicle. The system comprises a heating, ventilation, and air conditioning unit along with a heat pump. Comparison of the optimal results from a centralized model predictive controller (MPC) and DMPC with those obtained through a rule-based strategy indicate that both the centralized MPC and DMPC deliver energy savings of 9.85% and 2.21 %, respectively.

引用

页码：8363 / 8368

页数：6

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