期刊
APPLIED ENERGY
卷 283, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2020.116353
关键词
HVAC; Connected hybrid electric vehicle; Thermal management; Waste heat recovery
资金
- US Department of Energy, Advanced Research Projects Agency - Energy, ARPA-e [DE-AR0000788]
Connected and automated vehicles present significant opportunities for energy saving and efficiency, especially for hybrid electric vehicles. An innovative co-optimization platform has been developed to optimize cabin heating, powertrain operation, and exhaust aftertreatment system thermal management, leading to 10% to 26% vehicle energy saving. Extensive experimental data and Monte Carlo simulations were used to test and study the effectiveness of the integrated cabin and powertrain thermal management.
Connected and automated vehicles present significant opportunities for energy saving and efficiency, especially for hybrid electric vehicles. Information such as estimated trip duration, path, time, and ambient conditions can be utilized to predict the future thermal and traction loads for a connected vehicle. One of the most energy intensive sub-systems of a hybrid electric or fully electric vehicle is cabin heating in cold climates. In this work, an innovative co-optimization platform is developed to optimize: (i) cabin heating using combined electrical resistance heating and engine heat assist, (ii) multi-mode powertrain operation during charge depletion, and (iii) exhaust aftertreatment system thermal management to minimize catalyst light-off fuel penalty. To this end, a model-based cabin heating and powertrain optimization platform is created and tested using extensive experimental data from a plug-in hybrid electric vehicle. Vehicle's trip duration is estimated using vehicle connectivity data that is then used to forecast cabin heating and powertrain power demands. The results show the proposed integrated cabin and powertrain thermal management can lead to 10 % to 26% vehicle energy saving by testing for the United States Urban Dynamometer Driving Schedule and one real world drive cycle with varying elevations. In addition, the effect of variability of ambient temperature (-15 to 2 degrees C) on energy savings is studied using Monte Carlo simulations.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据