Numerical analysis of new energy vehicle energy saving based on complex network and thermal energy efficiency

With the global attention to environmental protection and sustainable development, new energy vehicles are getting more and more attention. Thermal energy efficiency plays a prominent role in the energy consumption and overall performance of new energy vehicles. Therefore, this study aims to analyze the influencing factors of thermal energy efficiency in new energy vehicles through complex network theory, and then propose effective energy-saving strategies to promote the energy efficiency improvement of new energy vehicles and rational utilization of resources. The energy efficiency model of new energy vehicles based on complex network was researched and constructed, and numerical simulation and analysis were carried out based on thermodynamic principle and actual operation data. Based on the relationship between nodes and edges, the distribution and conversion efficiency of thermal energy under different operating conditions are discussed, and the influence of different strategies on energy efficiency is evaluated by various optimization algorithms. The study found that thermal energy efficiency is closely related to several factors, including the heat loss of the power system, the energy recovery mechanism, and the driving behavior. By optimizing the network structure and control strategy, the thermal energy efficiency is significantly improved, and the comprehensive energy consumption of new energy vehicles is significantly reduced even under different working conditions. The complex network theory combined with the analysis of thermal energy efficiency provides a new perspective for the energy-saving strategy of new energy vehicles.