Abstract. Because of the increasingly serious problems of environmental pollution and non-renewable energy shortage, in recent years, the world has been vigorously developing new energy vehicles, especially electric vehicles. Electric vehicles with solar energy as an auxiliary energy source can reduce the demand for power generation and charging stations for excessive electric vehicles during peak hours. In the present study, a solar electric vehicle was built, in which batteries and solar panel jointly provided power for car operations. In order to ensure that the electricity of solar panel can be safely and continuously supplied to the motor, this paper designed an intelligent charging controller with three work mode to connect the solar panel and batteries. Through reasonable charging strategy, this technology can maximize the use of solar energy, and ensure the safety and service life of the battery. Real vehicle test results show that the solar intelligent charging technology has obvious effect on the expansion of vehicle endurance, and also show that the integration of solar panel into the body design is an effective means to deal with the energy crisis in the future.

Artificial intelligence algorithms such as ant colony algorithm and neural network do not need to rely on a large amount of gradient information when solving, especially for large-scale complex optimization problems which are difficult to solve by traditional methods, which provides a new perspective and thinking direction for solving such problems. Based on the analysis of the principles and advantages and disadvantages of RBF neural network and ant colony algorithm, this paper proposes a RBF neural network based on genetic mutation improved ant colony clustering algorithm to evaluate the location of charging station. The improved ant colony clustering algorithm based on genetic variation is used to determine the number of hidden layers of RBF neural network, so as to solve the problem that the initial parameters of RBF neural network can not be accurately selected without scientific methods. An example is used to prove the scientific and effectiveness of this method. Finally, the optimal scheme of charging station location is determined by comparing the comprehensive ranking values obtained by various methods used in this paper to judge the advantages and disadvantages of charging station location.

as an effective means to enhance technological innovation, "Internet" has begun to be applied in various industries. The traditional automobile industry is also facing the great challenge of industrial upgrading, so it is necessary to apply the Internet to the innovation of automobile marketing management mode. This paper introduces the combination of "Internet" and automobile industry, and on the basis of the classical marketing 4P theory, expounds the idea and technological innovation brought about by "Internet" in automobile marketing management. This has certain enlightenment for the innovation of marketing management mode of automobile enterprises in the Internet era.