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the fuel cell temperature and voltage are two of the key parameters for the performance of ev. Because the temperature and voltage of the electric car fuel cell has the characteristics of strong nonlinear and coupling, make the traditional linear system theory can not be applicable. For this, put forward a kind of based on least squares support vector machines (LS - SVM) fuel cell inverse control optimization algorithm. The fuel cell was established based on the LS - SVM inverse model, using the RLS algorithm to check fuel cell inverse model, using the epsilon - filter method for on-line parameter adjustment controller. The simulation results show that the inverse control method can fast in the fuel cell voltage and temperature accurately decoupling control, to ensure the electric car performance requirements of fuel cell. 