{"title":"考虑电驱动系统特性的三维多目标路径规划方法","authors":"Yongpeng Shen, Hongyuan Huang, Xiaofang Yuan, Guoming Huang, Xizheng Zhang, Suna Zhao","doi":"10.1049/itr2.70076","DOIUrl":null,"url":null,"abstract":"<p>The rapid advancement of electric vehicles (EVs) is hindered by their limited driving range. Intelligent path planning can significantly improve energy efficiency and extend driving range. This paper proposes a novel three-dimensional multi-objective path planning method considering the characteristics of the electric drive system (EDS-3DM). First, vehicle dynamics and energy consumption estimation models are developed based on the efficiency analysis of the EDS. Next, a comprehensive path evaluation model is designed using both Euclidean distance and energy consumption. B-spline curves are then applied to smooth the final paths. Experimental results on three different maps demonstrate the effectiveness of EDS-3DM, achieving an average energy consumption reduction of 12.74%.To address the path planning challenge in intelligent EVs, this paper proposes a novel three-dimensional multi-objective path planning method that considers the characteristics of the EDS-3DM.The path planning results on three maps demonstrate the effectiveness of the EDS-3DM and its ability to achieve an average energy consumption optimization of 12.74%.</p>","PeriodicalId":50381,"journal":{"name":"IET Intelligent Transport Systems","volume":"19 1","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.70076","citationCount":"0","resultStr":"{\"title\":\"A Three-Dimensional Multi-Objective Path Planning Method Considering the Characteristics of Electric Drive System\",\"authors\":\"Yongpeng Shen, Hongyuan Huang, Xiaofang Yuan, Guoming Huang, Xizheng Zhang, Suna Zhao\",\"doi\":\"10.1049/itr2.70076\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The rapid advancement of electric vehicles (EVs) is hindered by their limited driving range. Intelligent path planning can significantly improve energy efficiency and extend driving range. This paper proposes a novel three-dimensional multi-objective path planning method considering the characteristics of the electric drive system (EDS-3DM). First, vehicle dynamics and energy consumption estimation models are developed based on the efficiency analysis of the EDS. Next, a comprehensive path evaluation model is designed using both Euclidean distance and energy consumption. B-spline curves are then applied to smooth the final paths. Experimental results on three different maps demonstrate the effectiveness of EDS-3DM, achieving an average energy consumption reduction of 12.74%.To address the path planning challenge in intelligent EVs, this paper proposes a novel three-dimensional multi-objective path planning method that considers the characteristics of the EDS-3DM.The path planning results on three maps demonstrate the effectiveness of the EDS-3DM and its ability to achieve an average energy consumption optimization of 12.74%.</p>\",\"PeriodicalId\":50381,\"journal\":{\"name\":\"IET Intelligent Transport Systems\",\"volume\":\"19 1\",\"pages\":\"\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.70076\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IET Intelligent Transport Systems\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/itr2.70076\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Intelligent Transport Systems","FirstCategoryId":"5","ListUrlMain":"https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/itr2.70076","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
A Three-Dimensional Multi-Objective Path Planning Method Considering the Characteristics of Electric Drive System
The rapid advancement of electric vehicles (EVs) is hindered by their limited driving range. Intelligent path planning can significantly improve energy efficiency and extend driving range. This paper proposes a novel three-dimensional multi-objective path planning method considering the characteristics of the electric drive system (EDS-3DM). First, vehicle dynamics and energy consumption estimation models are developed based on the efficiency analysis of the EDS. Next, a comprehensive path evaluation model is designed using both Euclidean distance and energy consumption. B-spline curves are then applied to smooth the final paths. Experimental results on three different maps demonstrate the effectiveness of EDS-3DM, achieving an average energy consumption reduction of 12.74%.To address the path planning challenge in intelligent EVs, this paper proposes a novel three-dimensional multi-objective path planning method that considers the characteristics of the EDS-3DM.The path planning results on three maps demonstrate the effectiveness of the EDS-3DM and its ability to achieve an average energy consumption optimization of 12.74%.
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