在 800 V 高压 SiC 电驱平台迭代背景下，电机控制器面临多物理场耦合复杂、台架标定周期长、极限工况试验成本高的研发痛点。本文以 AI 数字孪生五维模型为基础，构建“虚拟预演—台架验证—数据闭环”的新型研发范式，搭建电磁—热—控制多物理场虚拟标定平台，融合 AI 生成式硬件在环（Hardware-inthe-Loop，HIL）测试框架与扩展卡尔曼滤波（Extended Kalman Filter，EKF）实时结温辨识算法，并依托 800 V SiC 三电平电机控制器项目开展验证。结果表明：80% 以上的标定参数可前置至仿真阶段，台架标定工作量降低 75%；AI 自动化测试使 HIL 场景生成效率提升 300%，单轮验证周期缩短 35%~40%；EKF 融合 Foster 热网络实现功率模块结温在线估算，动态误差 <5 ℃、响应时间 <100 ms。该方案将控制器开发周期由 18~24 个月压缩至 12~15 个月，原型迭代减少 50%，CLTC 加权效率达标节点由立项后第 10 个月提前至第 6 个月。经与大众、dSPACE 等企业项目对标，该范式具备功率电子领域的迁移通用性，可为高压 SiC 电机控制器的低成本、快速工程化落地提供可复用的数字化技术路径。

Under the background of iterative 800 V high-voltage SiC electric drive platform, motor controllers face research pains, such as complex multi-physical field coupling, long bench test cycle, and high costs for extreme condition tests. Based on the AI digital twin five-dimensional model, this paper constructs a new research paradigm of "virtual rehearsal-bench verification-data loop", and builds a virtual calibration platform for electromagnetic-thermal-control multiphysical fields. It integrates the AI generative Hardware-in-the-Loop (HIL) testing framework and the Extended Kalman Filter (EKF) real-time junction temperature identification algorithm, and conducts verification based on the 800 V SiC three-level motor controller project. The results show that more than 80% of calibration parameters can be pre-simulated, reducing bench calibration workload by 75%; AI automated testing increases the efficiency of HIL scenario generation by 300%, and the single-wheel verification cycle is shortened by 35% to 40%; EKF integrates Foster's thermal network to achieve online estimation of power module junction temperature, with dynamic error <5 ℃ and response time <100 ms. The overall solution compresses the controller development cycle from 18~24 months to 12~15 months, reduces prototype iterations by 50%, and we advance the CLTC weighted efficiency compliance milestone from the 10th month after project initiation to the 6th month. Compared with enterprise projects such as Volkswagen and dSPACE, this paradigm has general applicability in the power electronics field and can provide a reusable digital technology path for the low-cost and rapid engineering implementation of high-voltage SiC motor controllers.