Abstract
There has been an increasing interest in exploring the potential to reduce energy consumption of future connected and automated vehicles. People have extensively studied various eco-driving implementations that leverage preview information provided by on-board sensors and connectivity, as well as the control authority enabled by automation. Quantitative real-world evaluation of eco-driving benefits is a challenging task. The standard regulatory driving cycles used for measuring exhaust emissions and fuel economy are not truly representative of real-world driving, nor for capturing how connectivity and automation might influence driving trajectories. To adequately consider real-world driving behavior and potential "off-cycle" impacts, this paper presents four collaborative evaluation methods: Large-scale simulation, in-depth simulation, vehicle-in-the-loop testing, and vehicle road testing. These four approaches, spanning simulation and testing aspects, evaluate real-world fuel economy benefits with different ranges and resolutions. The large-scale simulations leverage an extensive real-world driving database to assess overall eco-driving benefits across a range of road network and driving scenarios. The real-world driving data are further leveraged to generate representative driving routes for deeper evaluation. Based on the representative routes, in-depth simulation relying on high-fidelity models investigates how different traffic scenarios can impact the eco-driving performance. The vehicle-in-the-loop setup reinforces the in-depth simulations by conducting tests with an actual vehicle operated on a chassis dynamometer; the measured energy savings were indeed found to agree with the in-depth simulation savings estimates. Finally, limited but representative road testing with the fully integrated vehicle will be conducted to demonstrate the eco-driving capability and conclude the overall evaluation regimen.
Original language | American English |
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Number of pages | 9 |
DOIs | |
State | Published - 14 Apr 2020 |
Event | SAE 2020 World Congress Experience, WCX 2020 - Detroit, United States Duration: 21 Apr 2020 → 23 Apr 2020 |
Conference
Conference | SAE 2020 World Congress Experience, WCX 2020 |
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Country/Territory | United States |
City | Detroit |
Period | 21/04/20 → 23/04/20 |
Bibliographical note
Publisher Copyright:© 2020 SAE International; General Motors; National Renewable Energy Laboratory.
NREL Publication Number
- NREL/CP-5400-75912
Other Report Number
- SAE Technical Paper No. 2020-01-0588
Keywords
- ARPA-E
- automated vehicle
- CAV
- eco-driving
- FASTSim
- large-scale simulation
- NEXTCAR
- TSDC