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              <p>This paper discusses modeling 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 behavior of the system and all of its components are modeled 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.</p>
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