In order to improve the fault alarm effect on the power performance of hydraulic hybrid electric vehicles (HEV), this paper proposes a fault alarm method for hybrid electric vehicle power performance based on hydraulic technology, builds a hybrid electric vehicle power system model, uses hydraulic technology to extract the characteristic signals of key components, uses support vector mechanisms to build a hybrid electric vehicle classifier, and obtains the fault alarm results for dynamic performance based on hydraulic technology. The results show that the proposed method can improve real-time diagnosis and alarm for engine faults in HEV, and the fault can be diagnosed after 5 s of injection, thus ensuring the dynamic stability of HEV.

This paper introduces a method for dynamic loading of human-vehicle powertrains during dangerous driving. At the same time, this paper establishes a performance evaluation index of the human-vehicle (electric vehicle) powertrain system based on the second derivative functional. We have analyzed and established the calculation formula of the excitation force of the electric vehicle drive train in unstable driving conditions. We use the numerical solution method to perform the dynamic model simulation calculation on MATLAB. The study found that the high-frequency excitation force increases the amplitude of the acceleration power spectrum of the electric vehicle system. At the same time, the research results prove that the state-space model of the electric vehicle vibration system and the selected parameter values are effective.