As a common low-temperature physical phenomenon, frosting often results in negative effects in daily life and industrial production. Frosting simulation technology not only helps to deepen the understanding of the frosting process, but also provides theoretical guidance for the development of frost prevention and control technology, thereby reducing or avoiding potential hazards caused by frosting in fields such as energy, aerospace, transportation, electricity, and refrigeration. To fully understand this complex heat and mass transfer and flow coupling process, which is characterized by non-uniformity, variable density, moving boundaries, and continuous phase changes, this study systematically analyzes existing models and results of the four stages of droplet condensation, solidification tip-growth, virtual frost growth, and frost layer maturity in the low-temperature surface condensation frosting process. The results show that during the droplet condensation stage, existing models achieve a simulation accuracy of over 80% for indicators such as droplet size and nucleation rate. During the solidification tip-growth stage, the simulation accuracy of parameters such as freezing front height and freezing duration can reach 85.3%. The simulation accuracy of indicators such as frost thickness and frost density during the growth and maturity stages of frost layer can reach over 82%. Additionally, the accuracy of simulating and predicting frost climate can reach up to 88.4%. Existing frost simulation techniques can be divided into three types based on their underlying principles: mathematical models based on physical and mathematical principles, numerical simulations based on computational fluid dynamics and numerical methods, and data analysis models based on statistical and machine learning principles. Among these, the final method is mostly used in the frost growth stage, and has the greatest potential for development due to their long duration, multiple predictive parameters, and high accuracy throughout the frost formation process. During the entire condensation frosting process on low-temperature surface, the simulation of droplet nucleation in complex scenarios is difficult due to its small scale, fast changes, multiple influencing factors, and its occurrence in the early stage of dendrite growth. Similarly, the periodic reverse melting and regeneration of frost crystal in the later stage of frosting growth is also a current challenge due to the drastic changes inside the frost layer and the physical obstruction during precise measurements, which cannot be clearly observed. The conclusions of this study provide valuable references and inspiration for fundamental research and technological development related to frost and ice in complex scenarios, such as frosting, defrosting, frost prevention, and frost control, etc.