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Accurate simulation model of Electronic Throttle Body (ETB) is important to engine control, system analysis and diagnosis. However, some model parameters could vary significantly due to temperature variation and harsh working environment, therefore are very difficult to calibrate in test. In this paper, an optimization of model parameters with genetic algorithm is implemented to match simulation with open loop step and impulse response test results to achieve a precise ETB model. Closed loop validation test with rapid prototyping tool is accomplished to confirm the accuracy of simulation model. This automatic parameter-refining modeling approach turns out to be an efficient way to achieve the required model accuracy, which utilizes the advantages of multi-software tool chain.