Real-Time Ecodriving Control in Electrified Connected and Autonomous Vehicles Using Approximate Dynamic Programing

Deshpande, Shreshta Rajakumar; Gupta, Shobhit; Gupta, Abhishek; Canova, Marcello

doi:10.1115/1.4053292

Real-Time Ecodriving Control in Electrified Connected and Autonomous Vehicles Using Approximate Dynamic Programing

Journal Article · Sat Jan 01 04:00:00 EST 2022 · Journal of Dynamic Systems, Measurement, and Control

DOI:https://doi.org/10.1115/1.4053292· OSTI ID:1980688

Deshpande, Shreshta Rajakumar ^[1]; Gupta, Shobhit; Gupta, Abhishek; Canova, Marcello

OSTI

Connected and automated vehicles (CAVs), particularly those with a hybrid electric powertrain, have the potential to significantly improve vehicle energy savings in real-world driving conditions. In particular, the ecodriving problem seeks to design optimal speed and power usage profiles based on available information from connectivity and advanced mapping features to minimize the fuel consumption over an itinerary. This paper presents a hierarchical multilayer model predictive control (MPC) approach for improving the fuel economy of a 48 V mild-hybrid powertrain in a connected vehicle environment. Approximate dynamic programing (DP) is used to solve the receding horizon optimal control problem, whose terminal cost is approximated with the base policy obtained from the long-term optimization. The controller was tested virtually (with deterministic and Monte Carlo simulation) across multiple real-world routes, demonstrating energy savings of more than 20%. The controller was then deployed on a test vehicle equipped with a rapid prototyping embedded controller. In-vehicle testing confirm the energy savings obtained in simulation and demonstrate the real-time ability of the controller.

Research Organization:: The Ohio State Univ., Columbus, OH (United States)

Sponsoring Organization:: USDOE Advanced Research Projects Agency - Energy (ARPA-E)

DOE Contract Number:: AR0000794

OSTI ID:: 1980688

Journal Information:: Journal of Dynamic Systems, Measurement, and Control, Journal Name: Journal of Dynamic Systems, Measurement, and Control Journal Issue: 1 Vol. 144; ISSN 0022-0434

Publisher:: ASME

Country of Publication:: United States

Language:: English

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