Optimal Management of Charge and Discharge of Electric Vehicles Based on CAN Bus Communication 2020-01-1297
With the shortage of energy and the continuous development of automotive technology, electric vehicles are gradually gaining popularity. However, during the running of the electric vehicle, there is a risk of exhaustion of the electric power, and the position of the charging pile is fixed, which is likely to cause anxiety and worry of the owner. At present, there is a lack of an effective energy consumption prediction system, which is convenient for the driver to make reasonable driving planning guidance. As a standard serial communication protocol of ISO, CAN bus has a simple structure, short development cycle, stability and reliability. In this paper, the CAN bus is used to extract the dynamic parameter information of the speed, engine speed and throttle opening of the traveling vehicle in real time. At the same time, based on the GPS and cloud database, the road condition information of the expected driving section is comprehensively considered, and the real-time energy consumption prediction model of the electric vehicle is established. The predicted value is compared with the remaining electricity, and the driving route plan is evaluated, and the result is fed back to the owner to make a reasonable driving route plan. The validity of the prediction model was tested on CANoe and other related software, and a specific road section in a certain urban area was selected for real vehicle test. The test results were good, and the predicted values were basically consistent with the real values, which proved the feasibility of this energy consumption prediction system.