The combustion characteristics of a turbocharged diesel engine in a plateau environment have always been a focus of research on diesel engine power recovery. However, the influence of altitude on the empirical parameters of the combustion model has rarely been addressed in the literature. This paper presents a zero-dimensional combustion modeling method based on support vector machine (SVM). Taking a diesel engine as an example, the heat release rate data under different working conditions were measured on the test bench of a diesel engine at variable altitude. An SVM model was constructed and trained to predict the empirical parameters of the combustion model under varying altitude conditions, and the working process of the diesel engine was simulated. The results show that the working process simulation model with SVM prediction has better predictability. When the altitude increases, the average cylinder pressure and maximum pressure both decrease, the cylinder temperature and maximum temperature both increase, the combustion start point lags, and the combustion duration increases.

涡轮增压柴油机在高原环境下的燃烧特性一直是柴油机动力回收研究的重点。然而，高度对燃烧模型经验参数的影响在文献中很少提及。本文提出了一种基于支持向量机（SVM）的零维燃烧建模方法。以柴油机为例，在柴油机变海拔试验台上测量了不同工况下的放热率数据。构建并训练SVM模型，预测变海拔条件下燃烧模型的经验参数，模拟柴油机的工作过程。结果表明，采用SVM预测的工作过程仿真模型具有较好的可预测性。当海拔升高时，平均气缸压力和最大压力均降低，气缸温度和最高温度均升高，燃烧起点滞后，燃烧持续时间增加。