Abstract Performance and energy efficiency of induction motors (IM) used in electric vehicle (EV), by applying two control methods, namely the indirect field-oriented control (IFOC) method and the direct torque control (DTC) method, are compared. The tracking accuracy under changing vehicle speed circumstances for different speed controllers (classical PI, fuzzy logic, and sliding mode speed controllers) is studied. The EV including IM and battery is considered a nonlinear system. For modelling and simulation of EV components and for evaluating the controller performances, a Matlab m-file code package based only m-file coding is developed. The simulations reveal the advantage of DTC over IFOC and the superiority of the proposed sliding mode controller, in terms of improved tracking accuracy and increasing energy efficiency, and motivate the use of the proposed sliding mode controller for EV applications.

中文翻译：

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电动汽车应用感应电机的直接转矩控制与间接磁场定向控制

摘要 通过应用两种控制方法，即间接磁场定向控制（IFOC）方法和直接转矩控制（DTC）方法，比较了电动汽车（EV）用感应电机（IM）的性能和能效。研究了不同速度控制器（经典PI、模糊逻辑和滑模速度控制器）在车速变化情况下的跟踪精度。包括 IM 和电池的 EV 被认为是一个非线性系统。为了对 EV 组件进行建模和仿真以及评估控​​制器性能，开发了仅基于 m 文件编码的 Matlab m 文件代码包。仿真揭示了 DTC 优于 IFOC 以及所提出的滑模控制器在提高跟踪精度和提高能源效率方面的优越性，