In order to realize the accurate control of vehicle braking system, an electrohydraulic braking system based on fuzzy brake pressure control was designed. The electrohydraulic braking system structure was analyzed and its braking principle was clarified. The vehicle was modeled, the calculation methods of longitudinal and transverse forces on wheels were obtained, and the dynamic equations of wheels were established. The corresponding parameters of vehicle braking pressure control process were calculated by using extended Kalman filter, and the longitudinal and transverse slip coefficients of wheels were obtained by using the slip angle and rolling speed of the vehicle. The membership functions of fuzzy inference system were constructed, and the pavement type was obtained based on the slip coefficient and adhesion coefficient of wheel. According to the pavement type, the reference slip was obtained based on the artificial neural network. The reference slip was used to calculate the slip error and error rate; the optimal control pressure was obtained by using fuzzy control membership function to complete the vehicle braking control. The results show that the braking time of this method is 10.66% and 11.83% shorter than that of fuzzy PID method on high adhesion coefficient pavement and mixed adhesion coefficient pavement respectively; in braking control, the slip rate fluctuation amplitude of this method is smaller than that of fuzzy PID method, and it is more closer to the optimal slip rate, which shows that the braking control of vehicle can be realized efficiently and stably by using this method.