2013
SESDE 2013 Proceeding
Optimization of racing series hybrid electric vehicle using dynamic programming
Authors: Zainab Asus, El-Hassane Aglzim, Daniela Chrenko, Zul-Hilmi Che Daud, Luis Le Moyne
Abstract
This paper discusses modelling of a racing series hybrid electric vehicle called Noao. This plug-in hybrid system is equipped with an engine/generator set as its range extender. The battery acts as the prime mover to propel the vehicle. Available applications of control strategies for hybrid vehicle system in the literature are reviewed to identify a suitable solution for its optimization. The behaviour of the system and all of its components are modelled in simulation and validated through experiments performed on the real racing circuit. A dynamic programming approach is applied offline to optimize the existing rule based control parameters defined for this racing car application. The same approach is implemented to adjust the engine operating point in order to achieve a longer endurance and to have a better performance.
I3M Scientific Sponsors
I3M Industrial Sponsors
I3M Media Sponsors
