Energy-Efficient Maneuvering of Connected and Automated Vehicles: NEXTCAR Phase II Results

2025-01-8385

To be published on 04/01/2025

Event
WCX SAE World Congress Experience
Authors Abstract
Content
Onboard sensing and Vehicle-to-Everything (V2X) connectivity enhance a vehicle's situational awareness beyond direct line-of-sight scenarios. A team led by Southwest Research Institute (SwRI) demonstrated 20% energy savings by leveraging these streams on a 2017 Prius Prime as part of the first phase of the ARPA-E-funded NEXTCAR program. When combined with automation, these information streams can not only improve vehicle safety but also enhance energy efficiency further. In the second phase, SwRI demonstrated 30% energy savings over the baseline by leveraging connectivity with higher levels of automation. This paper summarizes the efforts to achieve 30% savings on a 2020 Honda Clarity PHEV. The vehicle was outfitted with the SwRI Ranger automated driving suite for perception and localization. Model-based control schemes with selective interrupt and control (SIC) were used to override stock vehicle controls and actuate the accelerator and brake pedals, and the electric power steering system, enabling drive-by-wire and steer-by-wire functionalities. Key algorithms contributing to the 30% savings include eco-driving, eco-routing, plugin hybrid electric vehicle powertrain mode selection, and cooperative maneuvers such as eco-merging, and platooning. These algorithms were tested through large-scale simulations using a high-fidelity forward-looking powertrain model, dynamic and stochastic traffic simulations – calibrated based on real-world corridor data, and real-world trip data. Statistical significance was established for simulation results, and a clustering and downlselection routine was used to select representative scenarios for dynamometer evaluation. This paper presents an overview of the contributing algorithms, the development of the simulation framework, the experiments designed to test the effectiveness of algorithms in simulations, an overview of the scenario downselection routine, and results from simulations and dynamometer tests.
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Citation
Bhagdikar, P., Gankov, S., Sarlashkar, J., Hotz, S. et al., "Energy-Efficient Maneuvering of Connected and Automated Vehicles: NEXTCAR Phase II Results," SAE Technical Paper 2025-01-8385, 2025, .
Additional Details
Publisher
Published
To be published on Apr 1, 2025
Product Code
2025-01-8385
Content Type
Technical Paper
Language
English