高效省油、安全可靠的分布式分层控制,适用于混合动力电动汽车的排队行驶

IF 2.3 4区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Jinghua Guo, Jingyao Wang, Ban Wang
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引用次数: 0

摘要

为了提高互联混合动力电动汽车(CHEVs)的安全性能和燃油经济性,提出了一种新颖的分布式分层排序控制方案。首先,建立了CHEV排布的非线性动态模型,以准确描述CHEV的多进程耦合特性。然后,提出了由上层模型预测控制(MPC)法则和下层能量管理控制法则组成的CHEV排布分布式分层控制框架。上层的模型预测控制法则用于为排成一排的每辆车提供所需的加速度,下层的基于模糊的能量管理控制法则用于确保发动机保持在最佳工作点的范围内,并确保汽车排成一排时电机的高效率工作。最后,研究结果表明,所提出的CHEV排成一排控制方案是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Fuel-efficient and safe distributed hierarchical control for connected hybrid electric vehicles platooning

Fuel-efficient and safe distributed hierarchical control for connected hybrid electric vehicles platooning

Fuel-efficient and safe distributed hierarchical control for connected hybrid electric vehicles platooning

In order to enhance the performance of safety and fuel economy of connected hybrid electric vehicles (CHEVs), a novel distributed hierarchical platoon control scheme of CHEVs is proposed. First, the non-linear dynamic model of CHEVs platooning is established to accurately depict the multi-process coupling characteristics of CHEVs. Then, a distributed hierarchical control framework for CHEVs platooning is proposed, which is consisted of a upper model predictive control (MPC) law and a lower energy management control law. The upper MPC control law is built to produce the desired accelerations of every vehicle in the platoon and the lower fuzzy-based energy management control law is constructed to ensure the engine maintain at the rang of optimum working point and the motor work with the high efficiency of CHEVs platooning. Finally, the results manifest that the effectiveness of proposed platoon control scheme for CHEVs.

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来源期刊
IET Intelligent Transport Systems
IET Intelligent Transport Systems 工程技术-运输科技
CiteScore
6.50
自引率
7.40%
发文量
159
审稿时长
3 months
期刊介绍: IET Intelligent Transport Systems is an interdisciplinary journal devoted to research into the practical applications of ITS and infrastructures. The scope of the journal includes the following: Sustainable traffic solutions Deployments with enabling technologies Pervasive monitoring Applications; demonstrations and evaluation Economic and behavioural analyses of ITS services and scenario Data Integration and analytics Information collection and processing; image processing applications in ITS ITS aspects of electric vehicles Autonomous vehicles; connected vehicle systems; In-vehicle ITS, safety and vulnerable road user aspects Mobility as a service systems Traffic management and control Public transport systems technologies Fleet and public transport logistics Emergency and incident management Demand management and electronic payment systems Traffic related air pollution management Policy and institutional issues Interoperability, standards and architectures Funding scenarios Enforcement Human machine interaction Education, training and outreach Current Special Issue Call for papers: Intelligent Transportation Systems in Smart Cities for Sustainable Environment - https://digital-library.theiet.org/files/IET_ITS_CFP_ITSSCSE.pdf Sustainably Intelligent Mobility (SIM) - https://digital-library.theiet.org/files/IET_ITS_CFP_SIM.pdf Traffic Theory and Modelling in the Era of Artificial Intelligence and Big Data (in collaboration with World Congress for Transport Research, WCTR 2019) - https://digital-library.theiet.org/files/IET_ITS_CFP_WCTR.pdf
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