Research On Energy Saving Induction Strategy Of Intelligent Vehicle Based On Vehicle Networking

With the development of next-generation network communication technology,the Internet of Vehicles,as a multi-information fusion technology with extensive participation in many fields and industries,can effectively improve vehicle safety performance and reduce energy consumption.In this paper,the intelligent vehicle energy-saving induction strategy under the urban road conditions and the vehicle network environment is carried out.The author carried out research work on vehicle dynamics modeling,energy-saving induction global optimization strategy development,energy-saving induction strategy in the application of vehicle-related conditions and road test.The research work of this paper has important academic significance and practical value.Based on the literature research,the author built a vehicle dynamics model using the dynamic simulation software IPG Carmaker.Based on the real road of the test site,a road environment model was built in the software.According to the actual vehicle performance parameters,the parameters in the model are revised to ensure the performance of the model.The verification shows that whether the driver drives the vehicle or the vehicle automatically travels according to a certain speed curve,the results of the vehicle speed,motor torque and instantaneous power consumption simulated in the software can be well matched,and the relative error of power consumption per 100 kilometers is less than 5%,which verifies the effectiveness of the vehicle-road model.In this paper,energy saving is the goal of intelligent vehicle energy-saving induction strategy research based on dynamic programming.The energy-saving induction strategy based on dynamic programming is constructed.The objective function,variables and constraints of the optimization model are defined,and the energy-saving induced speed curve on the fixed road is obtained.When the average speed is 24km/h,the whole process takes 318s,the overall energy consumption is optimal,and the average energy consumption per 100km is 9.34kW·h,which is 27.42%lower than the average 100km power consumption when not optimized.With the average speed as the constraint condition,the energy-saving induction results at different average speeds are obtained.The author simulates and analyzes the application of energy-saving induction strategy in the following conditions.The possible operation state of the preceding vehicle under the condition of following the vehicle is analyzed.Based on MATLAB/Simulink and IPG Carmaker,the joint simulation model is built.The decision-making layer and control layer of the energy-saving induction strategy are designed,and the follow-up control strategy is developed.The simulation and analysis of typical vehicle working conditions were carried out,and the NEDC cycle conditions of the preceding vehicle were simulated and analyzed.The simulation results show that the cumulative power consumption under both conditions is better than the cumulative power consumption optimized by the linear quadratic optimization algorithm.The author built a road test hardware platform and conducted a road test on the vehicle-network-based intelligent vehicle energy-saving optimization global optimization strategy.The energy-saving induction strategies for the average vehicle speeds of 20km/h,30km/h and 40km/h were verified.The test results show that compared with the human driver,the energy-saving induction global optimization strategy constructed in this paper has good energy-saving effect.