Take the 60Ah lithium iron phosphate battery equipped for an electronic vehicle as research object, develop the Battery Management System (BMS) and process the bench test. The system uses LTC6802 chip to implement local electronic information collection unit, uses the resistance-voltage distributing principle to implement the high-voltage collecting and insulation resistance detecting, uses MC9S12XDP512 chip to implement the top-level data processing and vehicle information interaction. Bench test shows the designed BMS can monitor all states of the battery pack and compute in real time. At the same time BMS can communicate with the Vehicle Control Unit (VCU) reliably.
This paper introduced the structure of Extended-Range Electric Vehicles as well as its characteristics. Principle researches have been offered on the parameters matching of the power-train and main components. Operating modes and control strategies were discussed, especially the two control strategies of charge sustaining mode which is shown as load following strategy and engine optimal strategy, and the effects of both control strategies are simulated and analyzed. The results indicate that the load following strategy can obviously extend battery’s lifespan, but the engine optimal strategy can reduce fuel consumption and emission effectively.
μC/OS-II is one of RTOS which has remarkable advantages, such as high reliability, high real-time ability, and easy code scalability. This paper transplanted it into BMS on electric vehicle successfully which was based on MC9S12XDP512 MCU hardware platform. Using quantitative comparison under specific tests, this paper also verified the real-time and reliability advantages of μC/OS-II.
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