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Velocity trajectory optimization in Hybrid Electric trucks

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Author: Keulen, T. van · Jager, B. de · Foster, D.L. · Steinbuch, M.
Type:article
Date:2010
Institution: TNO Industrie en Techniek
Source:American Control Conference, ACC 2010, 30 June - 2 July 2010, Baltimore, MD, USA, 5074-5079
Identifier: 425178
ISBN: 9781424474264
Article number: No.: 5530695
Keywords: Traffic · Constant velocities · Forward velocity · Fuel savings · Hybrid component · Hybrid electric truck · Hybrid electric vehicle · Optimal velocity · Optimization problems · Road loads · Satellite navigation · Set-point · Storage devices · Time constraints · Velocity constraints · Velocity trajectories · Aerodynamics · Automobiles · Controllers · Electric vehicles · Fuel economy · Trajectories · Reliable Mobility Systems · Mobility · Fluid Mechanics Chemistry & Energetics · PT - Power Trains · TS - Technical Sciences

Abstract

Hybrid Electric Vehicles (HEVs) enable fuel savings by re-using kinetic and potential energy that was recovered and stored in a battery during braking or driving down hill. Besides, the vehicle itself can be seen as a storage device, where kinetic energy can be stored and retrieved by changing the forward velocity. It is beneficial for fuel consumption to optimize the velocity trajectory in two ways; i) to assist the driver in tracking an optimal velocity trajectory (e.g. input to an Adaptive Cruise Controller); ii) to estimate the future power request trajectory which can be used to optimize the hybrid components use. Taking advantage of satellite navigation, together with the vehicles current mass and road load parameters, an optimization problem is formulated, and solved for a driver defined time constraint. Despite tight velocity constraints, this can result in 5% fuel saving compared to a Cruise Controller with constant velocity setpoint. The benefit of velocity trajectory optimization is indicated with experimental results. © 2010 AACC.