Design and Performance Optimization of an Intelligent Cockpit System Based on OpenHarmony

Abstract

Aiming at the key issues of traditional in-vehicle systems, such as weak distributed collaboration capabilities, high interactive response latency, and insufficient localization adaptation, this study proposes and implements an intelligent cockpit system based on the OpenHarmony operating system. The system adopts a three-layer distributed architecture of "Southbound Hardware Layer - Cloud Service Layer - Northbound Application Layer". It uses the Puzhong Hi3861 development board to build the hardware control layer, integrates various types of sensors and actuators, develops the northbound interactive interface based on the ArkUI framework, and introduces an AI large model to optimize the multimodal interaction logic. To realize the quantitative evaluation of system performance, communication latency models, data acquisition accuracy models, and interactive response efficiency models are established, and the effectiveness of each model is verified through experiments. The test results show that the system has a communication latency of ≤50ms, a data loss rate as low as 0.03%, and a voice command recognition accuracy of over 95%. Compared with traditional Linux/Android in-vehicle systems, the improvement of its core performance indicators exceeds 40%. This study provides a technical solution with both theoretical value and engineering significance for the localized research and development of in-vehicle intelligent systems.