Life Cycle Greenhouse Gas Impacts of a Connected and Automated SUV and Van
作者： Nicholas J. Kemp , Gregory A. Keoleian , Xiaoyi He , Akshat Kasliwal
DOI: 10.1016/J.TRD.2020.102375
关键词:
摘要: Abstract As technological advancements progress, the automotive industry is getting closer to producing Level 4 connected and automated vehicles (CAVs). Market trends show personal vehicle sales moving towards sport utility (SUVs) increasing use of ridesourcing services. We conducted a life cycle assessment (LCA) CAV subsystem components integrated into battery electric (BEV SUV) internal combustion engine (ICEV van) platforms. Vehicle lifetime was modeled based on deployment as an taxi, incorporating standby mode account for continuous connectivity. This study explores impacts weight, drag, electricity demand relative benefits eco-driving, platooning, intersection connectivity at system level. A BEV coupled with low carbon intensity grid (0.08 kg CO2e/kWh) could see 31% decrease in greenhouse gas (GHG) emissions while high computing power requirements (4000 W) increase GHG 34% compared base case. The net result case (500 W computer power, 14% operational efficiency improvement, 45% highway driving) shows primary energy (2.7%, 2.7% BEV; 1.3%, 1.1% ICEV) non-CAV
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