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Intelligent Power Management of Electric Vehicle with Li-Ion Battery

The paper aims the power management of Li-ion battery on the electric vehicle to record motor-using behaviors for each electric vehicle in a cloud server. After retrieving information from each electric vehicle, developed algorithm will be able to conclude a proper charging scheme for each electric car according to their using history. Therefore, optimizing rapid charging scheme become possible, and the cloud information can also assist power grid to manage power flow under crucial circumstances. To do integrated management of batteries, the design starts from setting up LiFePO4 batteries’ charging/discharging characteristic curve under different load. Considering the mobility of battery information access, the work proposes a cloud server work as database and computing center. The more information collected by the cloud, the more precise of the battery-using model is. The database collects data including battery SOC, battery voltage, discharging current, temperature…etc. The battery life simulation also works in the cloud by the information about SOC, open-circuit voltage, discharging current and temperature. According to cloud data analysis, charging current 5C/10C/20C under rapid charging grid’s load monitoring is possible; the process of environmental development and hardware planning can train students to use hardware, firmware and software design platform for the skills development for future employment.