Switched reluctance machines (SRMs) provide a potential candidate and a feasible solution
with increased interest for industrial applications due to their simple and rigid structure …

This paper reviews the recent developments of design optimization methods for
electromagnetic devices, with a focus on machine learning methods. First, the recent …

The multiobjective optimization design of dual three-phase permanent magnet synchronous
hub motors (PMSHMs) is challenging due to the high dimension and huge computation cost …

In this article, an optimized-sector-based model predictive torque control (OSB-MPTC)
strategy is proposed to reduce the torque ripple of the switched reluctance motors (SRMs) …

In this article, an optimal torque sharing function (TSF) control method incorporated with
improved linear active disturbance rejection control (LADRC) and modified coyote …

A hybrid control strategy based on torque sharing function (TSF) and sliding mode control is
proposed for switched reluctance motor (SRM), which can obtain smaller torque ripple and …

In this paper, a new system-level sequential Taguchi method (SLSTM) is proposed to
achieve the optimal solution with high robustness for switched reluctance motor (SRM) drive …

针对开关磁阻电机多变量, 高非线性以及传统设计过程无法快速而准确获得最优方案的问题,
提出一种基于Kriging 模型和改进粒子群算法的参数优化策略. 首先建立多目标优化模型 …

In this paper, a finite-control-set model predictive direct torque control (FCS-MPDTC) method
is proposed to reduce the torque ripple of a segmented switched reluctance motor (SSRM) …

Accurate estimation of battery state including state-of-charge (SOC) and state-of-health
(SOH) plays an important role in improving the performance and lifespan of battery packs in …