文章聚焦人工智能技术在新能源汽车电器系统中的应用与优化。研究表明，人工智能通过深度学习、强化学习等算法，在驱动控制系统智能化改进、能源管理优化、故障诊断与预测维护、用户界面交互智能化等方面实现突破。其中，驱动系统扭矩精确度提升至 95%，能源管理系统能耗降低 10%，预测性维护技术使故障检测准确率达 95%。未来，随着算法效率提升，人工智能有望进一步推动新能源汽车智能化与环保性发展，为汽车产业可持续发展提供支撑。

This article focuses on the application and optimization of artificial intelligence technology in the electrical system of new energy vehicles. Research shows that artificial intelligence has achieved breakthroughs in intelligent improvement of drive control systems， optimization of energy management， fault diagnosis and predictive maintenance， and intelligent user interface interaction through algorithms such as deep learning and reinforcement learning. Among them，the torque accuracy of the drive system has been increased to 95%，the energy consumption of the energy management system has been reduced by 10%， and the predictive maintenance technology has enabled the fault detection accuracy rate to reach 95%. In the future， with the improvement of algorithm efficiency， artificial intelligence is expected to further promote the intelligent and environmentally friendly development of new energy vehicles，providing support for the sustainable development of the automotive industry.