Optimization of Vehicle Engineering Control Based on Improved Simulated Annealing Algorithm

Abstract

Electric vehicles with its advantages of less pollution, low noise and high energy conversion rate gradually attracted the attention of the government and various automobile manufacturers, which is one of the development trends of the future automobile industry. How to improve the power performance and driving range of electric vehicles by matching the transmission system parameters reasonably has become the main research objective at present. This paper mainly studies vehicle engineering control optimization based on improved simulated annealing algorithm. In this paper, the energy consumption mechanism model of electric vehicle driving motor under complex working conditions is constructed by using simulation software. On this basis, the objective function and constraint conditions based on the optimal energy consumption are established, and the simulated annealing algorithm is used to find the optimal value of the objective function, so as to obtain the optimal torque solution of four wheels. The experiment verifies the effectiveness of the torque coordination optimization control strategy based on the optimal energy consumption, guarantees the expected torque output under multiple constraints (that is, meets the driver's operating intention), and realizes the comprehensive energy consumption optimization of the vehicle.