Review of Energy Management Methods for Fuel Cell Vehicles: From the Perspective of Driving Cycle Information
Energy management methods (EMMs) utilizing sensing, communication, and networking technologies appear to be one of the most promising directions for energy saving and environmental protection of fuel cell vehicles (FCVs). In real-world driving situations, EMMs based on driving cycle information are...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/20/8571 |
| _version_ | 1797572228919853056 |
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| author | Wei Wang Zhuo Hao Fufan Qu Wenbo Li Liguang Wu Xin Li Pengyu Wang Yangyang Ma |
| author_facet | Wei Wang Zhuo Hao Fufan Qu Wenbo Li Liguang Wu Xin Li Pengyu Wang Yangyang Ma |
| author_sort | Wei Wang |
| collection | DOAJ |
| description | Energy management methods (EMMs) utilizing sensing, communication, and networking technologies appear to be one of the most promising directions for energy saving and environmental protection of fuel cell vehicles (FCVs). In real-world driving situations, EMMs based on driving cycle information are critical for FCVs and have been extensively studied. The collection and processing of driving cycle information is a fundamental and critical work that cannot be separated from sensors, global positioning system (GPS), vehicle-to-vehicle (V2V), vehicle-to-everything (V2X), intelligent transportation system (ITS) and some processing algorithms. However, no reviews have comprehensively summarized the EMMs for FCVs from the perspective of driving cycle information. Motivated by the literature gap, this paper provides a state-of-the-art understanding of EMMs for FCVs from the perspective of driving cycle information, including a detailed description for driving cycle information analysis, and a comprehensive summary of the latest EMMs for FCVs, with a focus on EMMs based on driving pattern recognition (DPR) and driving characteristic prediction (DCP). Based on the above analysis, an in-depth presentation of the highlights and prospects is provided for the realization of high-performance EMMs for FCVs in real-world driving situations. This paper aims at helping the relevant researchers develop suitable and efficient EMMs for FCVs using driving cycle information. |
| first_indexed | 2024-03-10T20:54:17Z |
| format | Article |
| id | doaj.art-026cd760dbe841ed905f82cb3b4d3dfc |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T20:54:17Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-026cd760dbe841ed905f82cb3b4d3dfc2023-11-19T18:04:56ZengMDPI AGSensors1424-82202023-10-012320857110.3390/s23208571Review of Energy Management Methods for Fuel Cell Vehicles: From the Perspective of Driving Cycle InformationWei Wang0Zhuo Hao1Fufan Qu2Wenbo Li3Liguang Wu4Xin Li5Pengyu Wang6Yangyang Ma7CATARC Automotive Test Center (Tianjin) Co., Ltd., Tianjin 300300, ChinaCATARC NEV Test Center (Tianjin) Co., Ltd., Tianjin 300300, ChinaCATARC Automotive Test Center (Tianjin) Co., Ltd., Tianjin 300300, ChinaCATARC Automotive Test Center (Tianjin) Co., Ltd., Tianjin 300300, ChinaCATARC Automotive Test Center (Tianjin) Co., Ltd., Tianjin 300300, ChinaCATARC Automotive Test Center (Tianjin) Co., Ltd., Tianjin 300300, ChinaCollege of Automotive Engineering, Jilin University, Changchun 130022, ChinaSchool of Automotive Studies, Tongji University, Shanghai 201804, ChinaEnergy management methods (EMMs) utilizing sensing, communication, and networking technologies appear to be one of the most promising directions for energy saving and environmental protection of fuel cell vehicles (FCVs). In real-world driving situations, EMMs based on driving cycle information are critical for FCVs and have been extensively studied. The collection and processing of driving cycle information is a fundamental and critical work that cannot be separated from sensors, global positioning system (GPS), vehicle-to-vehicle (V2V), vehicle-to-everything (V2X), intelligent transportation system (ITS) and some processing algorithms. However, no reviews have comprehensively summarized the EMMs for FCVs from the perspective of driving cycle information. Motivated by the literature gap, this paper provides a state-of-the-art understanding of EMMs for FCVs from the perspective of driving cycle information, including a detailed description for driving cycle information analysis, and a comprehensive summary of the latest EMMs for FCVs, with a focus on EMMs based on driving pattern recognition (DPR) and driving characteristic prediction (DCP). Based on the above analysis, an in-depth presentation of the highlights and prospects is provided for the realization of high-performance EMMs for FCVs in real-world driving situations. This paper aims at helping the relevant researchers develop suitable and efficient EMMs for FCVs using driving cycle information.https://www.mdpi.com/1424-8220/23/20/8571energy management methodsfuel cell vehiclesdriving cycle information |
| spellingShingle | Wei Wang Zhuo Hao Fufan Qu Wenbo Li Liguang Wu Xin Li Pengyu Wang Yangyang Ma Review of Energy Management Methods for Fuel Cell Vehicles: From the Perspective of Driving Cycle Information Sensors energy management methods fuel cell vehicles driving cycle information |
| title | Review of Energy Management Methods for Fuel Cell Vehicles: From the Perspective of Driving Cycle Information |
| title_full | Review of Energy Management Methods for Fuel Cell Vehicles: From the Perspective of Driving Cycle Information |
| title_fullStr | Review of Energy Management Methods for Fuel Cell Vehicles: From the Perspective of Driving Cycle Information |
| title_full_unstemmed | Review of Energy Management Methods for Fuel Cell Vehicles: From the Perspective of Driving Cycle Information |
| title_short | Review of Energy Management Methods for Fuel Cell Vehicles: From the Perspective of Driving Cycle Information |
| title_sort | review of energy management methods for fuel cell vehicles from the perspective of driving cycle information |
| topic | energy management methods fuel cell vehicles driving cycle information |
| url | https://www.mdpi.com/1424-8220/23/20/8571 |
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