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State Estimator Design for Series-Parallel Hybrid Electric Vehicles

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Abstract (2. Language): 
This paper describes and introduces a nonlinear model for series-parallel Toyota Prius hybrid electric vehicle (HEV). Required information of driving cycle has been extracted with using Advisor simulation software. A proper buoyancy system modeling is essential in order to obtain accurate information of HEV for designing. Due to the great effect of HEVs on environmental pollution, a correct perception of changing in states is necessary. We propose method, based on extended kalman filter (EKF) that is able to overcome problems such as nonlinearity, noise and offset.
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REFERENCES

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