Lubricating oil information can effectively reflect the health status of armored vehicle engines,which is very important for vehicle engine status evaluation.Taking an armored vehicle engine as the research object,an engine condition evaluation algorithm based on sparrow search algorithm(SSA) optimization support vector machine (SVM) was proposed.In this algorithm,the original data of lubricating oil were denoised and normalized firstly,then the sparrow search algorithm was adopted to optimize the kernel parameters and penalty parameters of SVM,and finally the optimized parameters were used to establish the evaluation model.The experimental results show that the classification accuracy of SVM optimized by SSA is 96.67%,which can effectively evaluate the engine state,and provide a basis for oil change and maintenance of armored vehicle engine.