Integrated Energy and Thermal Management for Electrified Powertrains

被引:10
|
作者
Wei, Caiyang [1 ]
Hofman, Theo [1 ]
Caarls, Esin Ilhan [2 ]
van Iperen, Rokus [2 ]
机构
[1] Eindhoven Univ Technol, Dept Mech Engn, POB 513, NL-5600 MB Eindhoven, Netherlands
[2] Bosch Transmiss Technol, Postbus 500, NL-5000 AM Tilburg, Netherlands
来源
ENERGIES | 2019年 / 12卷 / 11期
关键词
electrified powertrains; energy management; thermal management; cold-start; waste heat recovery; Rankine cycle; heat pump; optimal control; WASTE HEAT-RECOVERY; THERMOELECTRIC GENERATORS; RANKINE-CYCLE; PUMP SYSTEM; HYBRID; VEHICLES; PERFORMANCE; STRATEGIES; DESIGN; MODEL;
D O I
10.3390/en12112058
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This study presents an integrated energy and thermal management system to identify the fuel-saving potential caused by cold-starting an electrified powertrain. In addition, it quantifies the benefit of adopting waste heat recovery (WHR) technologies on the ultimate fuel savings. A cold-start implies a low engine temperature, which increases the frictional power dissipation in the engine, leading to excess fuel usage. A dual-source WHR (DSWHR) system is employed to recuperate waste heat from exhaust gases. The energy harvested is stored in a battery and can be retrieved when needed. Moreover, the system recovers waste heat from an electric machine, including power electronics and a continuous variable transmission, to boost the heating performance of a heat pump for cabin heating. This results in a decrease in the load on the battery. The integrated energy and thermal management system aims at maximizing the fuel efficiency for a pre-defined drive cycle. Simulation results show that cold-start conditions affect the fuel-saving potential significantly, up to 7.1% on the New European Driving Cycle (NEDC), yet have a small impact on the optimal controller. The DSWHR system improves the fuel economy remarkably, up to 13.1% on the NEDC, from which the design of WHR technologies and dimensioning of powertrain components can be derived. As the optimal solution is obtained offline, a complete energy consumption minimization strategy framework, considering both energy and thermal aspects, is proposed to enable online implementation.
引用
收藏
页数:24
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