Design Of Intelligent Charger Equipment In Wind Power Based On ARM

With the unprecedented development of new energy technology, the wind power technology has been brought into a brand-new situation. As an important guarantee for the safe operation of the wind turbine, Lead-acid battery has been adopted to store electric energy. It locates in the generator hub, and it can provide backup power supply for generator. This smart charger, combined with the control system of wind turbine, will charge the battery automatically.By observing the demand of actual enterprise products, a smart charger that specializes in Lead-acid battery of wind generator hub is developed to support the control system of wind turbine. Some related works are performed, including the hardware circuit, control program, testing and validation.This thesis mainly elaborates the software and hardware designs of ARM control board for the charger.Switch power technology and three-gradation charge intelligently based on32-bits ARM kernel controller are applied to the charger. A STM32F103RB, produced by STMicroelectronics, is adopted as the controller, which samples the voltage, current and temperature of the battery and the switch power, and analyzes how to control three-gradation charge. Meanwhile, temperature compensation for charging voltage and current, safety monitoring, serial communication between the charger and peripheral equipment are operating. The charger is all-intelligent that detects the power and temperature and protects automatically, diagnoses the problem by itself and transforms to the acquisition equipment of the generator. These main parameters controlling the charger are reconfigurable online. Thus, the compatibility greatly improved with different wind turbine control systems and lead-acid batteries. Simultaneously the adaptation to various natural environment has been enhanced.This thesis presents an ARM control board, and then implements the monitoring, alarming, temperature compensation, PC communication and parameter configuration, respectively. The results show that all performance indexes meet requirements of the product.