关键词: 纯电动汽车；自学习型；整车控制器；组合仪表；车载信息娱乐系统

Abstract: The battery is the power source of electric vehicles. However, with the increase of service time, its inherent characteristics (such as capacity)will change, and the relevant information displayed on the instrument will also have errors, which will bring confusion to users. Therefore, this paper proposes a self-learning strategy to correct the information display error caused by the attenuation of the inherent properties of the battery. Mobile phones and internet enterprises can analyze the big data used by users, so as to push their intended content for users and improve the user experience. Compared with traditional non-network connected vehicles, intelligent vehicles can also use vehicle control unit (VCU) to store user vehicle data, conduct independent analysis and over the air (OTA) upgrade correction factors to correct the error of charging time and available residual power display, and score the driver's behavior, so as to achieve the strategy of vehicle independent learning. At present, this strategy has been applied to mass production of 20 000 vehicles, and the market response is good. It greatly improves the user experience.

Key words: Pure electric vehicles; Self-learning; Vehicle control unit; Instrument communications manager; In-vehicle infotainment system