The paper discusses the advanced spectral analysis performed on two important classes of electric drive systems, namely Switched Reluctance Motors (SRM) and Permanent Magnet Synchronous Machines (PMSM). In particular, the noise and vibration signatures as a function of operating speed are analyzed by using a waterfall analysis and an order analysis. The harmonic and modulation components attributable to the motor configuration, the motor operating principles and the Variable Speed Drives (VSD) are identified in two cases for each motor type. Furthermore, a number of approaches to improve the noise and vibration performance have been evaluated, in particular by acting on the controls of the variable speed drive. Some comments on additional noise source phenomena such as caused by phase unbalance are given.
Diffusion of electric and hybrid vehicles is accelerating the development of innovative braking technologies. Calibration of accurate models of a hydraulic brake plant involves availability of large amount of data whose acquisition is expensive and time consuming. Also, for some applications, such as vehicle simulators and hardware in the loop test rig, a real-time implementation is required. To avoid excessive computational loads, usage of simplified parametric models is almost mandatory. In this work, authors propose a simplified functional approach to identify and simulate the response of a generic hydraulic plant with a limited number of experimental tests. To reproduce complex nonlinear behaviours that are difficult to be reproduced with simplified models, piecewise transfer functions with scheduled poles are proposed. This innovative solution has been successfully applied for the identification of the brake plant of an existing vehicle, a Siemens prototype of instrumented vehicle called SimRod, demonstrating the feasibility of proposed method.
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