Battery Remaining Capacity Forecasting Method And Realization For Electric Vehicle

Environment and sustainable development has become a focus of attention throughout the world, major energy consumption and environmental pollution as a key source of car development is also facing serious challenges. Limited to the traditional oil resource based on development model is not acceptable. Energy conservation and environmental protection is becoming the new target of industry development. Hybrid electric vehicle in this context is based on pure electric vehicles in the course of development for the market and have an ideal model. The performance of batteries plays an important role on the whole performance of vehicle, and influences directly on vehicle's performance, i.e. Therefore a battery management system is necessary. Based on the achievement of predecessors, a further study on the difficult battery management system was given, proposed a new forecasting method for battery power remaining estimated.At first introduced electric vehicle and the history of the development of the battery management system cell technology, and the remaining margins of several models. In this paper MH-Ni batteries is researched, by careful analysis of MH-Ni batteries work principles, the battery voltage, current and temperature characteristics. Based on traditional forecasting method of BP neural networks and intelligent forecasting method of genetic algorithms GA, a combining GA-BP algorithm was proposed. The feasibility of this approach was valid by simulation.The battery management system was designed as CAN intelligent nodes, communicated with the whole vehicle. Through RS-232 interface, the communication with the outside was realized. Through LCD, the system achieved a visualization interface. Using high-precision sensors for data collection through the P87C591, a analog-to-digital converter, highly integrated chip and saved the external circuit. It achieved the isolation between the electrical circuits, the separation of analog and digital circuits. The system has a higher safety and reliability.