Impact of Model Simplification on Optimal Control of Combustion Engine and Electric Vehicles Considering Control Input Constraints

Han, Jihun; Rios Torres, Jackeline; Vahidi, Ardalan; Sciarretta, Antonio

doi:10.1109/VPPC.2018.8604993

Impact of Model Simplification on Optimal Control of Combustion Engine and Electric Vehicles Considering Control Input Constraints

Conference · 01 August 2018

DOI:https://doi.org/10.1109/VPPC.2018.8604993· OSTI ID:1492182

^[1]; ^[1]; Vahidi, Ardalan ^[2]; Sciarretta, Antonio ^[3]

ORNL
Clemson University
IFP Energies Nouvelles

This paper analyzes the impact of model simplification on optimal control for electric and conventional engine-powered vehicles. An optimal control problem is formulated to minimize energy/fuel consumption subject to control input constraints and solved analytically using the Pontryagin's Minimum Principle. We found that simplified solutions without nonlinear aerodynamic drag are sub-optimal, and their loss of optimality increases with average travel speed. The energy/fuel savings of each control approach are evaluated using the intelligent driver model to capture driving behavior of a driver. Simulation case studies are presented for illustration.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

DOE Contract Number:: AC05-00OR22725

OSTI ID:: 1492182

Resource Relation:: Conference: 2018 IEEE Vehicle Power and Propulsion Conference (VPPC) - Chicago, Illinois, United States of America - 8/27/2018 8:00:00 AM-8/30/2018 8:00:00 AM

Country of Publication:: United States

Language:: English

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