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Hybrid vehicle technology has become widely accepted due to its ability to reduce emissions and energy consumptions over conventional vehicles. Current optimization strategy for a parallel hybrid requires a lot of computational time and relies heavily on the drive cycle to accurately represent the driving conditions in the future. In this paper, a vehicle simulation model and a method to optimize parallel strategy to minimize energy consumption while having a fast solving time and being drive cycle independent is developed. The proposed methodology differs from the widely used dynamic programming approach for optimizing parallel strategy, which relies on accurately representing the actual driving behavior, by using the efficiencies of the engine, electric machines, inverters and the battery to predict the impact of current operating point on the overall powertrain system efficiency.