Complexity and chaos control of dynamic evolution in energy vehicle production decisions.

This study aims to build a dynamic evolutionary game model for production decisions related to new energy vehicles and traditional fuel vehicles under a dual credit policy. The equilibrium point is calculated, and its stability is evaluated. Meanwhile, the dynamic evolution process of the system is simulated numerically, and the results reveal the complexity of the evolution process. Finally, the delay feedback control method is used to suppress the chaos of the model. Results show that in the production competition of duopoly automobile enterprises, automobile enterprises react too quickly to the market, thus resulting in system imbalance and chaos. At the same time, new energy vehicles are more sensitive to the market than traditional fuel vehicles. An excessively large output adjustment speed is not conducive to the smooth transformation of the automobile market. In addition, the delay feedback control method can effectively suppress the chaos in the system. The larger the delay feedback parameter, the faster the system returns to a steady state. This result suggests that policymakers should reflexively use this approach in practice.