Title
Velocity trajectory optimization in Hybrid Electric trucks
Author
van Keulen, T.
de Jager, B.
Foster, D.L.
Steinbuch, M.
TNO Industrie en Techniek
Publication year
2010
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.
Subject
Fluid Mechanics Chemistry & Energetics
PT - Power Trains
TS - Technical Sciences
Reliable Mobility Systems
Traffic
Mobility
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
To reference this document use:
http://resolver.tudelft.nl/uuid:34ab3f6c-01bb-4690-9697-b3b97f919695
TNO identifier
425178
ISBN
9781424474264
Source
American Control Conference, ACC 2010, 30 June - 2 July 2010, Baltimore, MD, USA, 5074-5079
Article number
No.: 5530695
Document type
conference paper