Implementation and Optimization of a Variable-Speed Coolant Pump in a Powertrain Cooling System

被引:0
作者
Keblusek, Michael C. [1 ]
Cho, Kyu Taek [2 ]
机构
[1] Navistar INC, Lisle, IL USA
[2] Northern Illinois Univ, De Kalb, IL 60115 USA
关键词
Coolant pump; Cooling system; Powertrain; Emissions technology; Optimization; Thermal management;
D O I
10.4271/02-12-04-0020
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
This study investigates methods to precisely control a coolant pump in an internal combustion engine. The goal of this research is to minimize power consumption while still meeting optimal performance, reliability and durability requirements for an engine at all engine-operating conditions. This investigation achieves reduced fuel consumption, reduced emissions, and improved powertrain performance. Secondary impacts include cleaner air for the earth, reduced operating costs for the owner, and compliance with US regulatory requirements. The study utilizes mathematical modeling of the cooling system using heat transfer, pump laws, and boiling analysis to set limits to the cooling system and predict performance changes. The models are correlated with physical test data of one internal combustion engine, and a map is generated for allowable pump-speed reductions over all the conditions of engine speeds and torques, which provides insight into thermal behavior in the cooling loop and critical information to conduct optimal thermal design. It is found that speed-variable coolant pump could reduce the pump power up to 97%, and it could save the overall engine power consumption by 1.25% from the Supplemental Emission Test cycle (SET cycle), suggesting the speed-variable coolant pump is a promising technology to reduce fuel consumption and meet the emission regulations. The detailed procedure for the analysis of the cooling system is described in this study, which will provide a guideline for systematic thermal analysis and optimization of powertrain cooling systems.
引用
收藏
页码:253 / 269
页数:17
相关论文
共 31 条
[11]   Combined Primary Frequency and Virtual Inertia Response Control Scheme of a Variable-Speed Dish-Stirling System [J].
Li, Yang ;
Choi, San Shing ;
Vilathgamuwa, D. Mahinda ;
Xiong, Binyu ;
Tang, Jinrui .
IEEE ACCESS, 2020, 8 :151719-151730
[12]   A stochastic load demand-oriented synergetic optimal control strategy for variable-speed pumps in residential district heating or cooling systems [J].
Wang, Yu ;
Wang, Zhiwei ;
Wang, Zhanwei .
ENERGY AND BUILDINGS, 2021, 238
[13]   Integral sliding mode control for increasing maximum power extraction efficiency of variable-speed wind energy system [J].
Periyanayagam, A. Ruban ;
Joo, Y. H. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022, 139
[14]   An Impeller Optimization Method for the High Specific Speed Mixed-Flow Reactor Coolant Pump Applied to Marine Nuclear Power [J].
Fu, Qiang ;
Zhao, Yun ;
Lu, Yonggang ;
Zhao, Weiqiang ;
Zhu, Rongsheng .
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 11 (07)
[15]   Ant-colony optimization of pumping schedule to minimize the energy cost using variable-speed pumps in water distribution networks [J].
Hashemi, Seyed Saeed ;
Tabesh, Massoud ;
Ataeekia, Behzad .
URBAN WATER JOURNAL, 2014, 11 (05) :335-347
[16]   Recognition of Variable-Speed Equipment in an Air-Conditioning System Using Numerical Analysis of Energy-Consumption Data [J].
Ma, Rongjiang ;
Wang, Xianlin ;
Shan, Ming ;
Yu, Nanyang ;
Yang, Shen .
ENERGIES, 2020, 13 (18)
[17]   Optimization design and application of the air-cooling heat pump system in the underground buildings [J].
Zhu, PG ;
Yang, RZ ;
Zhou, YH .
PROCEEDINGS OF THE 4TH INTERNATIONAL SYMPOSIUM ON HEATING, VENTILATING AND AIR CONDITIONING, VOLS 1 AND 2, 2003, :871-875
[18]   Cooling System Energy Consumption Reduction through a Novel All-Electric Powertrain Traction Module and Control Optimization [J].
Lombardi, Simone ;
Villani, Manfredi ;
Chiappini, Daniele ;
Tribioli, Laura .
ENERGIES, 2021, 14 (01)
[19]   Hydraulic-mechanical-electrical coupled model framework of variable-speed pumped storage system: Measurement verification and accuracy analysis [J].
Liu, Chengpeng ;
Zhao, Zhigao ;
Yang, Jiebin ;
Yan, Shaokai ;
Yang, Jiandong ;
Yin, Xiuxing .
JOURNAL OF ENERGY STORAGE, 2024, 89
[20]   Co-Optimization Scheme for the Powertrain and Exhaust Emission Control System of Hybrid Electric Vehicles Using Future Speed Prediction [J].
Hong, Wanshi ;
Chakraborty, Indrasis ;
Wang, Hong ;
Tao, Gang .
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2021, 6 (03) :533-545