使用模型预测控制的新型永磁电驱动混合动力汽车能源管理方案

IF 2.1 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Machines Pub Date : 2023-12-20 DOI:10.3390/machines12010003
Carlos A. Reusser, Matías Parra, Cristina Stamulis, Argel Vega, Gerardo Mino
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引用次数: 0

摘要

本研究涉及混合动力汽车牵引系统的设计,该系统使用 PMSM 型电机,包括一个能量再生阶段,并使用中性点引导(NPP)逆变器。最佳运行方式可在牵引阶段为电机提供正确的能量,使其正常运行;另一方面,在制动过程中,它有助于将再生模式下的能量转移到直流母线上,将最大能量存储在存储元件中,在这种情况下,存储元件指的是电池组。它还包括一个直流-直流双向升压交错转换器,用于调节牵引和制动时的直流电压水平。其基本特征是,通过减少开关设备的数量,可以以适当的特性降低直流母线的直流电压,并保持恒定和稳定,而不受输出电压参考值突然变化的影响。此外,其他特点还包括振荡控制,即根据运行条件减少或增加振荡。它的瞬态运行非常出色,因为沉淀时间大大缩短,这意味着直流母线电压不会对电机的运行造成影响。在作为升压变流器运行时,如果直流母线出现任何电压值,变流器都会根据参考条件提升电压值。同样,无论设定值如何变化,控制都能将电压保持在稳定值。本研究提出了一种基于模型预测控制策略的新型永磁电力驱动能源管理方案,从而有助于对标准混合动力电动汽车驱动循环进行有效的能源管理。使用实时硬件在环(HIL)平台获得的结果表明,模型预测控制在处理功率流管理方面非常有效,同时确保了在所有要求的速度-扭矩曲线中对电力驱动的控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Novel Energy Management Scheme for a Permanent Magnet Electric Drive-Based Hybrid Vehicle Using Model Predictive Control
The present work deals with the design of a traction system for a hybrid vehicle using a PMSM-type motor, including an energy regeneration stage, using a Neutral Point Piloted (NPP) inverter. Optimal operation allows the motor to be supplied in the traction stage with the correct energy in such a way that it operates properly; on the other hand, during braking, it facilitates the transfer of energy in regenerative mode to the DC bus, storing the greatest amount of energy in the storage elements, which, in this case, refers to a battery bank. It also includes a DC-DC bidirectional boost interleaved converter to regulate the DC voltage levels both in traction and in braking. Its fundamental characteristic is that with a reduced number of switching devices, it allows for the reduction in DC voltage of the DC bus with adequate characteristics, constant and stable, regardless of abrupt changes in the output voltage reference value. Also, other features include oscillation control, that is, reducing or increasing oscillations according to operating conditions. Its transient operation is excellent, since the settling time is considerably reduced, which implies that the voltage of the DC bus does not cause mishaps in the operation of the motor. In its operation as a boost converter, in the event of any voltage value of the DC bus, the converter raises the voltage value according to the reference conditions. Similarly, control allows the voltage to be held at a stable value regardless of changes in the set point. This work presents a novel energy management scheme for permanent magnet electric drive based on a Model Predictive Control strategy, thus contributing to the effective energy management of a standard hybrid electric vehicle driving cycle. Results obtained using a real-time Hardware-in-the-Loop (HIL) platform showed the effectiveness of Model Predictive Control in dealing with power flow management while ensuring control of electric drive in all the required speed–torque profiles.
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来源期刊
Machines
Machines Multiple-
CiteScore
3.00
自引率
26.90%
发文量
1012
审稿时长
11 weeks
期刊介绍: Machines (ISSN 2075-1702) is an international, peer-reviewed journal on machinery and engineering. It publishes research articles, reviews, short communications and letters. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. Full experimental and/or methodical details must be provided. There are, in addition, unique features of this journal: *manuscripts regarding research proposals and research ideas will be particularly welcomed *electronic files or software regarding the full details of the calculation and experimental procedure - if unable to be published in a normal way - can be deposited as supplementary material Subject Areas: applications of automation, systems and control engineering, electronic engineering, mechanical engineering, computer engineering, mechatronics, robotics, industrial design, human-machine-interfaces, mechanical systems, machines and related components, machine vision, history of technology and industrial revolution, turbo machinery, machine diagnostics and prognostics (condition monitoring), machine design.
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