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电动汽车中电池/超级电容器的模糊-超级扭转控制实现。

Fuzzy-Super twisting control implementation of battery/super capacitor for electric vehicles.

机构信息

LGEB Laboratory, Electrical Engineering Department, University of Biskra, Algeria.

FEMTO-ST, CNRS, Univ. Bourgogne Franche-Comte, UTBM, FCLAB, CNRS, Univ. Bourgogne Franche-Comte, Belfort, France.

出版信息

ISA Trans. 2019 Dec;95:243-253. doi: 10.1016/j.isatra.2019.04.029. Epub 2019 May 6.

DOI:10.1016/j.isatra.2019.04.029
PMID:31079875
Abstract

The present paper deals with a real-time implementation of a novel Fuzzy logic energy management strategy (EMS), applied to a battery-super capacitor hybrid energy system and associated with a permanent magnet synchronous motor (PMSM) which emulates the traction part of an electric vehicle (EV). On the sources side, the fuzzy logic supervisor acts in a smart way to permute smoothly between the various operations modes via an efficient power frequency splitting. In addition, it permits a quite regulation of both the DC bus and the super-capacitor (SC) voltages regardless of the speed profile variations to ensure an optimal power flow to the load and to keep the SC operation in a safe voltage range while providing or absorbing power in transients. On the traction side, a second order sliding mode control called 'super-twisting' (ST), associated with a space vector modulation (SVM) strategy is applied to ensure both decoupled torque and flux control under low torque and flux ripples. The assessment of the proposed control techniques is conducted on a small-scale battery/SC/PMSM system, controlled via two dSPACE1104 cards. The obtained experimental results show a smooth operation of the whole system, where the proposed Fuzzy logic supervisor succeeds to provide fast and high performances under different speed levels and ensures the proper functioning of each source while respecting its dynamics. Furthermore, the second order sliding mode controller shows good dynamic performances, where the system arrives to track perfectly the speed profile, under tolerable torque and flux ripples.

摘要

本文介绍了一种实时实现的新型模糊逻辑能量管理策略(EMS),应用于电池-超级电容器混合能源系统,并与永磁同步电机(PMSM)相结合,模拟电动汽车(EV)的牵引部分。在源侧,模糊逻辑控制器以智能方式通过有效的功率分频在各种操作模式之间平稳切换。此外,它可以在不考虑速度变化的情况下,对直流母线和超级电容器(SC)电压进行相当好的调节,以确保向负载提供最佳功率流,并在瞬态时保持 SC 运行在安全电压范围内,同时提供或吸收功率。在牵引侧,采用二阶滑模控制,称为“超扭曲”(ST),并结合空间矢量调制(SVM)策略,以确保在低转矩和磁通纹波下实现转矩和磁通的解耦控制。所提出的控制技术的评估是在一个小型电池/SC/PMSM 系统上进行的,该系统通过两个 dSPACE1104 卡进行控制。所得到的实验结果表明整个系统的运行平稳,所提出的模糊逻辑控制器在不同的速度水平下成功地提供了快速和高性能,并确保了每个源的正常运行,同时尊重其动态特性。此外,二阶滑模控制器显示出良好的动态性能,系统能够在可容忍的转矩和磁通纹波下完美跟踪速度曲线。

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