Automatic Generation Analysis Method of Automobile Chassis Electronic Control System Based on NLP-intelligent Control Condition

In recent years, the development direction of intelligent control has gradually shifted towards humanoid models. Intelligent control based on human-machine interaction is increasingly applied to chassis electronic control systems, and in the process of innovation in new energy vehicles in the field of artificial intelligence, the speech recognition mode of the chassis electronic control system is further trending towards specialization and intelligence. This article uses multi-modal entity word recognition technology to obtain various commands for intelligent control and management from users. In the process of fuzzy search, relatively accurate word command results are obtained, and instruction search is carried out according to the results of multi-modal entity word recognition, thereby achieving real-time dynamic control of the vehicle by the user. In the process of entity word recognition, data reasoning functions for text word entries are added to provide effective instructions within the user’s operational range, thereby completing the human-machine interaction process of the automotive chassis electronic control system.