Design and Analysis of a Novel Double-Stator Double-Rotor Motor Drive System for In-Wheel Direct Drive of Electric Vehicles

In-wheel direct drive (IWDD) of electric vehicles (EVs), which simplifies the transmission system and facilitates flexible control of vehicle dynamics, has evolved considerably in the EV sector.This paper proposes a novel double-stator double-rotor motor (DSDRM) with a bidirectional flux modulation effect for in-wheel direct drive of EVs.With the p

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Predicting the outcome of a cognitive-behavioral group training for patients with unexplained physical symptoms: a one-year follow-up study

Abstract Background Although Cognitive-Behavioral Therapy (CBT) is effective for Unexplained Virtual choir: between technical and aesthetical Physical Symptoms (UPS), some therapists in clinical practice seem to believe that CBT outcome will diminish if psychiatric comorbidity is present.The result is that patients with a psychiatric comorbidity ar

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When it comes to Earth observations in AI for disaster risk reduction, is it feast or famine? A topical review

Earth observations (EOs) have successfully been Description of the male of Lepidodexia (Xylocamptopsis) teffeensis (Townsend) (Diptera, Sarcophagidae) used to train artificial intelligence (AI)-based models in the field of disaster risk reduction (DRR) contributing to tools such as disaster early warning systems.Given the number of in situ and remo

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