Optimal energy management strategy for plug-in hybrid electric vehicles based on a combined clustering analysis

Zhang, Jianan; Liang, Chao; Wang, Xu; Guo, Chong; Fu, Zicheng; Zhao, Di

doi:10.1016/j.apm.2020.12.023

Cited by 16 publications

(9 citation statements)

References 32 publications

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“…The sample points of a period of time were integrated into a point set, as a sample of the final clustering analysis. Adaptive equivalent consumption minimization strategy or optimal rule-based pattern partitioning strategy was achieved [174,176]. Some applications of clustering within batteries were described in detail in the following session.…”

Section: Hybrid Electric Vehiclesmentioning

confidence: 99%

Review of Clustering Technology and Its Application in Coordinating Vehicle Subsystems

et al. 2023

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Clustering is an unsupervised learning technology, and it groups information (observations or datasets) according to similarity measures. Developing clustering algorithms is a hot topic in recent years, and this area develops rapidly with the increasing complexity of data and the volume of datasets. In this paper, the concept of clustering is introduced, and the clustering technologies are analyzed from traditional and modern perspectives. First, this paper summarizes the principles, advantages, and disadvantages of 20 traditional clustering algorithms and 4 modern algorithms. Then, the core elements of clustering are presented, such as similarity measures and evaluation index. Considering that data processing is often applied in vehicle engineering, finally, some specific applications of clustering algorithms in vehicles are listed and the future development of clustering in the era of big data is highlighted. The purpose of this review is to make a comprehensive survey that helps readers learn various clustering algorithms and choose the appropriate methods to use, especially in vehicles.

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Section: Hybrid Electric Vehiclesmentioning

confidence: 99%

Review of Clustering Technology and Its Application in Coordinating Vehicle Subsystems

et al. 2023

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“…Moreover, wireless electric vehicles and plug-in electric vehicles technology are spreading worldwide. It becomes a substantial element of the power system due to its massive use and advantages [81][82][83] and must be managed through the optimal methods, as reported in recent studies [84][85][86][87][88][89][90][91]. It is pertinent to mention that the integration of PEVs affects the grid Transformation has been proposed for optimal solutions.…”

Section: Limitations and Recommendationsmentioning

confidence: 99%

“…The recent developments in the electric power area, such as implementing PEVs become an attractive aspect due to techno-economic benefits [81]. However, the PEVs integration into the electric power system poses the power flow challenges that need to be managed through the optimal methods [84][85][86][87][88][89][90][91]. Therefore, in order to rationally solve the P-OPF problem in the modern electric power systems, the participation of PEVs needs to be considered; nevertheless, rare research studies are available concerning P-OPF solutions considering PEVs integration.…”

Section: • the Study Aims To Optimize Power Flow Bymentioning

confidence: 99%

Advanced studies for probabilistic optimal power flow in active distribution networks: A scientometric review

Ullah

Wang

et al. 2022

IET Generation Trans & Dist

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In the active distribution networks (ADNs), the emerging trend of high penetration of sustainable energy sources such as wind turbines, photovoltaics, and the forthcoming integration of energy storage devices and additional dynamic loads like plug-in-electric vehicles (PEVs) influences to change the nature of electric distribution networks. Consequently, it deteriorates power quality and reliability in terms of unacceptable voltage rise-drop, harmonic distortion, voltage unbalance, and excessive power loss. In this context of transition into the active distribution network, the probabilistic optimal power flow (P-OPF) in the ADN is considered an important tool that helps the distribution grid operators for defining the optimal settings of the system's control variables. However, the optimal solution of P-OPF becomes highly complex while considering the multiple variables, timevarying characteristics and operational uncertainties associated with sustainable resources, consumer behaviour and electricity market prices. This review aims at promoting the research and discussion of P-OPF studies in the context of ADNs characteristics and challenges. First, we perform a data-driven and visualized scientometric analysis of 1988 quality documents retrieved from the Scopus during the last ten years using VOSviewer software. Second, an in-depth investigation of the recent and emerging techniques for solving the P-OPF problem is presented. Third, a set of recommendations and highlights of future challenges for P-OPF in ADNs are offered. The review findings showed high interest among the scientific community in sustainable energy source integration, given the recent rise in publications and citations. Also, there is still a lack of innovative optimization techniques that can adequately handle the current issues associated with P-OPF and objectives with fair computational efficiency and accuracy. Finally, this paper offers a guide for P-OPF researchers to navigate the recent studies considering the sustainable sources, spot the new research frontiers, and identify the most impactful countries and publishers.

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“…Around the world, many initiatives are intended to promote this emission-free transportation policy. As a result, the use of PHEV [34][35][36] is growing. PHEV is popular because of heavy duty electric motor.…”

Section: Plug-in Hybrid Electric Vehicle (Phev)mentioning

confidence: 99%

An Extensive Critique on Electric Vehicle Components and Charging Systems

Iqubal

Sathiyan

Stonier³

et al. 2022

International Transactions on Electrical Energy Systems

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Nowadays the demand for electric vehicles has been increasing due to their dropping price range and zero emission of carbon. This article initially discusses the development of various electric vehicles from the past to the present. Since the electric motor plays a significant role in EVs, various motors suitable for EVs have been identified and surveyed in this work. The battery storage system is a critical component of EVs; hence, the article goes over all the different types of batteries, from lead acid to lithium ion. Additionally, the other vehicle components such as converters required for charging the batteries, intelligent controllers, electric vehicle charging process, power management, and battery energy management concepts that are available are discussed in detail. Moreover, we bring our work to a conclusion by outlining the research opportunities that remain for the academic and industrial groups. Therefore, the proposed work intends to assist as a state-of-the-art reference for researchers in the field of various electric vehicle configurations, storage systems, converter configurations, charging techniques, control methods, and modulation methods.

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Optimal energy management strategy for plug-in hybrid electric vehicles based on a combined clustering analysis

Cited by 16 publications

References 32 publications

Review of Clustering Technology and Its Application in Coordinating Vehicle Subsystems

Review of Clustering Technology and Its Application in Coordinating Vehicle Subsystems

Advanced studies for probabilistic optimal power flow in active distribution networks: A scientometric review

An Extensive Critique on Electric Vehicle Components and Charging Systems

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