Multiphysics simulation and fault analysis of the automotive starting system using Siemens Simcenter software
Abstract
The paper presents a method for simulating and early diagnosing faults in the automotive starting system through an integrated electrical-mechanical-thermal model on the Simcenter Amesim platform. Typical fault scenarios are simulated to analyze the variation of characteristic parameters such as current, voltage, crankshaft speed, and temperature during the starting process. The simulation results help clarify the relationship between these parameters, enabling the early detection of signs of performance degradation or starting ability issues. This study provides a solid technical foundation for developing early diagnostic solutions to optimize the maintenance process and enhance the reliability of the automotive starting system.