Electric power steering system (EPS) is a kind of dynamic control system for vehicle steering, which can amplify the driver steering torque inputs to the vehicle to improve steering comfort and performance, but the present EPS can’t cater to the driving habits of different people. In this paper, a personalized EPS controller is designed based on the driver behavior, which combines real-time driver behavior identification strategy with personalized assistance characteristic curve. Firstly, the driver behavior data acquisition system is designed and established, based on which, the input data of different kinds of drivers along with vehicle signals are collected under typical working conditions, then the identification of driver usage modes on line is realized using the BP neural network. Secondly, the personalized assistance characteristic curve is selected according to the identification results, and the close loop control strategies of PID and PWM are adopted to control the target current of the motor of the EPS system. Finally, the co-simulation of Simulink and Carsim were carried out, and the results show that personalized electric power steering system based on driver behavior can adjust power-assisted characteristics timely, and it can match the driver usage modes automatically and meet the drivers’ steering power demands better.