Optimization of efficiency maximization strategy of automobile transmission system based on simulated annealing algorithm

Abstract Under the dual pressures of the global energy crisis and environmental protection, improving the efficiency of automotive transmission systems has become one of the core issues in the industry. This paper focuses on automobile transmission systems, proposes an innovative optimization scheme, and applies an SAA algorithm to solve the efficiency maximization problem. SAA is derived from the annealing principle in the physical field, which can effectively avoid local optimal traps and realize global search. It is especially suitable for dealing with complex multivariable optimization tasks. Firstly, a detailed mathematical model of the variable speed transmission system is established, covering key links such as gear meshing and friction loss, ensuring the accuracy of the analysis. Subsequently, many accurate vehicle test data were introduced, covering various driving conditions, such as urban roads and expressways, to verify algorithm effectiveness. Experiment mental data show that under normal working conditions, the average efficiency of the optimized transmission system is improved by about 5%. In contrast, under extreme conditions, such as high load and low speed, the efficiency is improved by more than 8%. The power ride comfort is unaffected, indicating the solution has high performance and practicality. In addition, through sensitivity analysis, it is found that several key parameters, such as drive shaft diameter and lubrication conditions, significantly impact the system efficiency, providing a direction for further refined adjustment.