Research On Battery Management System For HEV Based On XC164CS

Under the pressure of environment pollution and the scarcity of oil source, for the purpose of the strategy of sustainable development, Hybrid Electric Vehicle(HEV) becomes an important consideration in the twenty-first century in order to get sustainable development of Automobile industry. Because the service life of Ni-MH battery is limited and the running circumstances of HEV are considerably complex, which influences the service life of Ni-MH battery, it is very essential to realize to efficiently manage energy of Ni-MH battery.This dissertation introduced the development background of Hybrid Electric Vehicle and analyzed the status of Hybrid Electric Vehicle battery technology. Based on the requirements of power performance index, the structural mode and driving mode are selected in this dissertation and finally it is determined to be a parallel hybrid-type torque compound. This dissertation is based on the experiment of Ni-MH battery, the characteristics of discharging and charging of Ni-MH battery and the influencing factor of Ni-MH battery are analyzed and studied. An calculating approach based on COE has been carried out to predict the remaining energy of Ni-MH batteries and the State of Charge(SOC). Also the compensation of the temperature and service life cycle are taken into consideration. On this basis, researches and designs of the Battery Management System(BMS) of HEV battery are introduced. This system can not only check-up the current and voltage of battery pack, monitor the performance of the battery modules such as voltage, temperature, etc. It also has functions of giving an alarm and trouble diagnosing early to prevent excessive discharging and charging of the battery, it can also cut off the circuit by itself for safety when using the battery. A simple test program for the battery pack features is designed and a test-bed is built for testing the characteristics of battery, many experimental data are obtained, and the battery characteristic curves and experience parameters are obtained by computing and fitting. It offers verification and correction for the SOC. At last, battery management system is debuged with the motor on the test bench, engine and HEV control unit (HCU) in a simulated work conditions.