Skew angle optimization analysis of a permanent magnet synchronous motor for EVs

© 2018 IEEE. In this paper, the skew angle of the permanent magnet synchronous motor (PMSM) for electric vehicles (EVs) is studied. The stability of the output torque of the driving motor is important for the EVs. The influence of skew angle on the Back-electromotive force, cogging torque, and output torque are studied by finite element analysis. The optimum skew angle of the stator slot is analyzed for the prototype. The results show that the proposed PMSM has better comprehensive performance after the optimization of the skew angle

Optimization of a five-phase E-core bearingless flux-switching permanent magnet motor for flywheel batteries

© 2018 IEEE. In this paper, a five-phase E-core bearingless fluxswitching permanent magnet (BSFPM) motor for flywheel batteries is proposed and optimized. First, the structure and the principle of the BSFPM motor are described simply. Second, the trial and error method is used to obtain the most reasonable relationship of center tooth arc width and edge tooth arc width, and then the electromagnetic torque and suspension force after optimization are got. The motor after optimization has smoother five-phase flux-linkage and the disturbance of the torque and suspension force decrease

Comparison of torque characteristics for a novel segmented and a conventional switched reluctance motors

© 2017 IEEE. The extensive applications of switched reluctance motor (SRM) have been limited due to its drawback of torque ripple. Thus, the reduction of torque ripple is an important problem in studying the SRM. A novel 16/10 segmented SRM (SSRM) is proposed in this paper. The proposed SSRM performs well in terms of torque ripple and tolerant-fault characteristic. The stator of the proposed structure is constructed from exciting and auxiliary stator poles, while the rotor consists of a series of discrete segments. Moreover, the torque ripple is evaluated by comparing with the conventional 8/6 SRM. Finally, the tolerant-fault characteristic of the proposed SSRM and conventional SRM are compared as well. The finite element method (FEM) is employed to demonstrate the prominent advantages of static and dynamic characteristics of the proposed SSRM

Parameter matching and structure optimal design of a brushless DC motor for a battery electric vehicle

© 2017 IEEE. Calculation and matching of the main parameters of a brushless DC (BLDC) motor for a Battery electric vehicle (EV) is studied in this paper. Usually, different shapes of permanent magnet (PM) and different magnetizing methods will affect the performance of the motor. Especially when the motor is designed for an EV, more elements need to be considered, such as efficiency under normal operating conditions and torque ripple. So in this paper the performance of PMs with different shapes and different magnetizing methods will be compared by finite element analysis (FEA). Finally, the structure of the stator and rotor will also be optimized to obtain the required prototype model

A segmented rotor type switched reluctance machine for BSGs of hybrid electric vehicles: Concept, design and analysis

© 2017 IEEE. This paper proposes a novel 16/10 segmented rotor switched reluctance machine (SSRM) for belt-driven starter generators (BSGs) of hybrid electric vehicles. The stator of proposed SSRM consists of two types of stator poles: exciting pole and auxiliary pole, and the rotor of proposed SSRM is made up of a series of discrete segments. Firstly, the concept of the conventional SRM and proposed machine is presented. Secondly, the design rules of proposed SSRM are described. Finally, the finite element method (FEM) is employed to get the static characteristics of the proposed SSRM, including the magnetic flux distribution, magnetic flux density, inductance characteristic, torque characteristic and continuous torque. Result shows that the torque ripple of proposed SSRM is low

Position control study of a bearingless multi-sector permanent magnet machine

Bearingless motors combine in the same structure the characteristics of conventional motors and magnetic bearings. Traditional bearingless machines rely on two independent sets of winding for suspension force and torque production, respectively. The proposed Multi-Sector Permanent Magnet (MSPM) motor exploits the spatial distribution of the multi-three-phase windings within the stator circumference in order to produce a controllable suspension force. Therefore, force and torque generation are embedded in the same winding setting. In this paper the force and torque generation principles are investigated and a mathematical model is presented considering the rotor displacement. A two Degree of freedom (DOF) position controller is designed taking into consideration the rotor overall dynamic system and a controller gains selection strategy is suggested. A simulation study of the bearingless system in different operating conditions is presented and the suspension force and torque produced are validated through Finite Element Analysis (FEA)

Performance improvement of bearingless multi-sector PMSM with optimal robust position control

Bearingless machines are relatively new devices that consent to suspend and spin the rotor at the same time. They commonly rely on two independent sets of three-phase windings to achieve a decoupled torque and suspension force control. Instead, the winding structure of the proposed multi-sector permanent magnet (MSPM) bearingless machine permits to combine the force and torque generation in the same three-phase winding. In this paper the theoretical principles for the torque and suspension force generation are described and a reference current calculation strategy is provided. Then, a robust optimal position controller is synthesized. A Multiple Resonant Controller (MRC) is then integrated in the control scheme in order to suppress the position oscillations due to different periodic force disturbances and enhance the levitation performance. The Linear-Quadratic Regulator (LQR) combined with the Linear Matrix Inequalities (LMI) theory have been used to obtain the optimal controller gains that guarantee a good system robustness. Simulation and experimental results will be presented to validate the proposed position controller with a prototype bearingless MSPM machine

Power-Sharing Control in Bearingless Multi-Sector and Multi-Three-Phase Permanent Magnet Machines

This paper deals with the power-sharing control of bearingless multi-sector and multi-three-phase permanent magnet machines. The proposed control strategy allows to distribute the power flows among the three-phase inverters supplying the machine during bearingless operation of the drive. The control technique is based on the extension of the vector space decomposition modeling approach. The components producing the electromagnetic torque, i.e. the q-axis currents, are controlled independently from the d-axis ones, also with the aim of managing the power flows among the three-phase systems. Conversely, the d-axis currents are exploited for the generation of the radial forces needed to levitate the rotor, while considering the compensation of the forces caused by the q-axis currents in case of unbalanced power sharing strategy. The validity of the proposed method is confirmed by simulations and experimental tests on a prototyped bearingless multi-sector permanent magnet synchronous machine. The proposed approach is a contribution to the development of advanced control systems employing multiphase drives in the field of bearingless and multiport applications

An overview of drive systems and sealing types in stirred bioreactors used in biotechnological processes

No matter the scale, stirred tank bioreactors are the most commonly used systems in biotechnological production processes. Single-use and reusable systems are supplied by several manufacturers. The type, size, and number of impellers used in these systems have a significant influence on the characteristics and designs of bioreactors. Depending on the desired application, classic shaft-driven systems, bearing-mounted drives, or stirring elements that levitate freely in the vessel may be employed. In systems with drive shafts, process hygiene requirements also affect the type of seal used. For sensitive processes with high hygienic requirements, magnetic-driven stirring systems, which have been the focus of much research in recent years, are recommended. This review provides the reader with an overview of the most common agitation and seal types implemented in stirred bioreactor systems, highlights their advantages and disadvantages, and explains their possible fields of application. Special attention is paid to the development of magnetically driven agitators, which are widely used in reusable systems and are also becoming more and more important in their single-use counterparts

A review of design optimization methods for electrical machines

© 2017 by the authors. Licensee MDPI, Basel, Switzerland. Electrical machines are the hearts of many appliances, industrial equipment and systems. In the context of global sustainability, they must fulfill various requirements, not only physically and technologically but also environmentally. Therefore, their design optimization process becomes more and more complex as more engineering disciplines/domains and constraints are involved, such as electromagnetics, structural mechanics and heat transfer. This paper aims to present a review of the design optimization methods for electrical machines, including design analysis methods and models, optimization models, algorithms and methods/strategies. Several efficient optimization methods/strategies are highlighted with comments, including surrogate-model based and multi-level optimization methods. In addition, two promising and challenging topics in both academic and industrial communities are discussed, and two novel optimization methods are introduced for advanced design optimization of electrical machines. First, a system-level design optimization method is introduced for the development of advanced electric drive systems. Second, a robust design optimization method based on the design for six-sigma technique is introduced for high-quality manufacturing of electrical machines in production. Meanwhile, a proposal is presented for the development of a robust design optimization service based on industrial big data and cloud computing services. Finally, five future directions are proposed, including smart design optimization method for future intelligent design and production of electrical machines