Abstract: In recent years,with China's commitment to achieve carbon peak in 2030 and carbon neutralization in 2060,new energy vehicles replacing traditional fuel vehicles and green production are becoming the future development trend of the automobile industry.Thereby,the production decision-making of a new energy vehicle maker with or without considering dual credit policy and carbon trading policy were studied,and the production inventory cost and optimal production decision-making were discussed in the setting of dual credit policy and carbon trading by using dynamic optimal control theory.On the basis of Arrow-Karlin Model,Hamilton function was used to analyze the impact of dual credit policy and carbon trading policy on the production of a new energy vehicle maker under the optimal control condition.The production decision-making model of new energy vehicles without dual credit and carbon trading policy,the production decision-making model of new energy vehicles with only dual credit policy and the production decision-making model with both dual credit and carbon trading policy were established,their impacts on the production of the new energy vehicle maker were compared,and the dynamic optimal control strategy of minimizing the total cost of new energy vehicles under their various backgrounds.The effectiveness of the optimal control strategy under dual credit and carbon trading policy was verified by numerical simulation.

Key words: new energy vehicles, dual credit policy, carbon trading, dynamic optimal control, production costs

摘要： 近年来,随着我国承诺在2030碳达峰2060碳中和,新能源汽车取代传统燃油车以及绿色生产已成为汽车行业未来发展趋势。基于此,本文研究了有无双积分和碳交易政策下新能源汽车生产商的生产决策问题,运用动态最优控制理论探讨双积分和碳交易背景下的生产库存成本及最优生产决策。在Arrow-Karlin模型的基础之上,利用Hamilton函数分析最优控制条件下的最优决策问题,建立了在没有双积分和碳交易政策下新能源汽车生产决策模型、只有双积分政策下的新能源汽车生产决策模型,以及同时具有双积分和碳交易政策下的生产决策模型,比较了它们对新能源汽车企业的生产影响,以及各自背景下新能源汽车总成本最小的动态最优控制策略。最后结合数值模拟验证了双积分和碳交易政策下最优控制策略的有效性。

关键词: 新能源汽车, 双积分, 碳交易, 动态最优控制, 生产成本