Study Of Battery For Pure Electric Bus Based On GGAP-RBF Neural Network

At the backgrounds of energy crisis, environmental pollution and sustainable development, study of electric vehicle attracts attentions from every country again. As the key point of electric vehicle’s development, study of battery for electric vehicle is of great significance. On the one hand, excessive discharging and charging current for a long time well injure the battery irreversibly; on the other hand, estimation of electric vehicle’s actual driving range depends on precisely estimation of actual SOC of the battery. Although the battery technology cannot make a breakthrough in a short time, modeling the battery is of great importance in estimation of battery’s SOC. This paper study the battery model and the electric vehicle model based on State 863 Project: Development of Extended Range and Plug-in Heavy Duty Commercial Vehicle’s Chassis, aiming to build a battery model which can be used in the varying working condition of pure electric bus. Through the contrast of battery discharging test and simulation in UDDS cycle run and the contrast of electric vehicle test and simulation in 40km/h constant speed test, it shows that the model which is built in this paper can describe the discharging process of battery precisely. The research works of this paper involves:(1) Modeling of the electric vehicle based on Matlab/Simulink. First this paper use Matlab/Simulink modeling the motor, power converter(DC-DC), loads, power train and wheels, and then this paper builds the Electric Vehicle Model. And this provides reliable simulation platform for battery discharging test.(2) Designing of the motor controller based on fuzzy system. Pure Electric Bus require its motor controller making reaction quickly and the motor speed changing less when the load of the motor increasing and decreasing suddenly. So this paper useing double closed-loop control based on fuzzy system develop the motor controller,aiming to achieve no static error and insensitivity of suddenly changing of loads. So the electric vehicle model can simulate the discharging process of the battery test precisely.(3) Modeling of the battery based on GGAP-RBF neural network. The battery of Pure Electric Bus working in varying condition, so traditional battery model cannot describe the battery precisely. This paper use GGAP-RBF neural network modeling the battery, and use test results of UDDS cycle drive to train the model. So the model built in this paper can describe the discharging process of battery of Pure Electric Bus precisely.