Systematic multi-level optimization design and dynamic control of less-rare-earth hybrid permanent magnet motor for all-climatic electric vehicles

Zhu, Xiaoyong; Fan, Deyang; Xiang, Zixuan; Quan, Li; Wang, Hua; Cheng, Ming

doi:10.1016/j.apenergy.2019.113549

Cited by 65 publications

(27 citation statements)

References 36 publications

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“…Several design optimisation methods for electrical drive systems and permanent magnet motors are involved in [23,24]. The SFC method may be an appropriate way to combine voltage controller with an intelligent algorithm.…”

Section: Reviewmentioning

confidence: 99%

High‐performance control for a permanent‐magnet linear synchronous generator using state feedback control scheme plus grey wolf optimisation

Sun

Yang

et al. 2020

IET Electric Power Applications

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This study proposes an optimal control scheme for a permanent-magnet linear synchronous generator (PMLSG) using the state feedback control (SFC) method plus the grey wolf optimisation (GWO) algorithm. First, A novel state-space model of linear PMLSG is established in order to obtain desired dynamics and enough power when used for the smooth wave energy. Second, the GWO algorithm is adopted to acquire weighting matrices Q and R in the process of optimising linear quadratic regulator (LQR). What is more, a penalty term is brought into the fitness index to reduce the overstrike of output voltage and keep the rate of work more stable. Finally, optimal LQR-based SFC with and without penalty term and proportionalintegral (PI) controllers are compared both in simulations and in experiments. Results clearly prove that the proposed optimal control strategy performs a better response when compared to other strategies.

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Section: Reviewmentioning

confidence: 99%

High‐performance control for a permanent‐magnet linear synchronous generator using state feedback control scheme plus grey wolf optimisation

Sun

Yang

et al. 2020

IET Electric Power Applications

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“…However, the effects of design variables on optimization objectives are different. In order to investigate their influence relation, the sensitivity analysis is conducted to stratify the design parameters (Zhu et al, 2019).…”

Section: Design Variables Stratificationmentioning

confidence: 99%

Design optimization of lathe spindle system for optimum energy efficiency

et al. 2020

Journal of Cleaner Production

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Spindle system is the major mechanical component in machine tools, and its performance is responsible for a significant portion of the total consumed energy of machine tools. Conventional design optimization of spindle system is partially focused on parameter optimization of spindle motor or transmission system, contributing to an increase of the motor efficiency. Given that concurrent interactions among them is complex, very little efforts has been done to conduct integration optimization for optimum energy efficiency. To this end, a new approach of spindle system design is presented with consideration of the above two aspects adequately, to achieve the maximum energy and material efficiency. Firstly, the energy characteristic of spindle system is explicitly modeled on the basis of energy flow analysis. Then, a multi-objective optimization model for parameter optimization of spindle motor and transmission system is developed to take the both maximum energy efficiency and minimum volume as objectives, which is subjecting to a set of constraints with related to the cutting parameters boundary, processing requirements and shifting power losses. Finally, a multi-objective improved teaching-learning based optimization (MO-ITLBO) algorithm is presented to solve the developed optimization model. The performance of the proposed design approach of lathe spindle system is demonstrated through different working conditions. The experimental results indicate that the design of energy and material efficient machine tools can be achieved.

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“…Electric vehicles often need to operate in different driving conditions, such as low-speed driving conditions in cities and medium-to-high speed driving conditions in the suburbs; thus, a wide range of speed regulation is generally required for their driving machine [6,7]. Whereas with regard to IPM synchronous machines, there are natural permanent magnets in their rotors, the constant PM potential often makes it difficult to adjust the air-gap magnetic field.…”

Section: Introductionmentioning

confidence: 99%

Electromagnetic–Mechanical Coupling Optimization of an IPM Synchronous Machine with Multi Flux Barriers

Chen

Zhu

et al. 2020

Energies

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In this paper, an interior permanent magnet (IPM) synchronous machine with multiflux barriers is proposed to meet the wide speed regulation application requirements of electric vehicles. Based on the flux barrier characteristic, an electromagnetic–mechanical coupling optimization strategy is employed for the machine design. In order to facilitate the optimization design, the rotor barriers are divided into two optimization zones, the maximum stress zone and the maximum deformation zone. The electromagnetic–mechanical coupling optimization strategy is divided into two stages accordingly. In the first stage, the machine is regarded as a synchronous reluctance machine by ignoring permanent magnets, where the dimensions of the arc-shaped barriers are optimized to achieve a large reluctance torque and small stress. In the second stage, the dimensions of the arc-shaped PMs and the elliptical barrier are optimized with three objectives of minimum torque ripple, minimum flux linkage, and minimum deformation. After machine optimization, the comparison investigations are carried out on the basis of finite-element analysis by considering both the electromagnetic performances and mechanical performances.

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Systematic multi-level optimization design and dynamic control of less-rare-earth hybrid permanent magnet motor for all-climatic electric vehicles

Cited by 65 publications

References 36 publications

High‐performance control for a permanent‐magnet linear synchronous generator using state feedback control scheme plus grey wolf optimisation

High‐performance control for a permanent‐magnet linear synchronous generator using state feedback control scheme plus grey wolf optimisation

Design optimization of lathe spindle system for optimum energy efficiency

Electromagnetic–Mechanical Coupling Optimization of an IPM Synchronous Machine with Multi Flux Barriers

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