Optimal Driving Model for Connected and Automated Electric Freight Vehicles in a Wireless Charging Scenario at Signalised Intersections
Electric freight vehicles have become an important means of transportation in connected and automated environments owing to their numerous advantages. However, the generally short driving range of connected and automated electric freight vehicles (CAEFVs) does not satisfy the growing transport deman...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/10/6286 |
| _version_ | 1827742147709763584 |
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| author | Wenbo Wang Songhua Fan Zijian Wang Xinpeng Yao Kenan Mu |
| author_facet | Wenbo Wang Songhua Fan Zijian Wang Xinpeng Yao Kenan Mu |
| author_sort | Wenbo Wang |
| collection | DOAJ |
| description | Electric freight vehicles have become an important means of transportation in connected and automated environments owing to their numerous advantages. However, the generally short driving range of connected and automated electric freight vehicles (CAEFVs) does not satisfy the growing transport demand. In this study, wireless charging technology is employed to construct a complex driving scenario including urban roads and dynamic wireless charging facilities. A combination of variable-scale elements consisting of vehicles, roads, and the environment is analysed hierarchically to develop a wireless charging scheme for urban transport systems. Using passage efficiency, energy consumption, and passenger comfort as the joint optimisation objectives, an optimal driving model for CAEFVs in wireless charging scenarios at signalised intersections combining scenario boundaries and vehicle dynamic constraints is proposed. Considering the differentiated charging needs of vehicles, this model is divided into a time priority strategy (TPS), balance priority strategy (BPS), and charging priority strategy (CPS). The obtained results reveal that the CPS is superior to the TPS in terms of the charging benefits but requires a longer travel time. Meanwhile, the BPS increases the charging benefits and passing efficiency. This study provides guidance for the deployment of wireless charging lanes with a high application value. |
| first_indexed | 2024-03-11T03:58:05Z |
| format | Article |
| id | doaj.art-dc5314f52e1644cbb9f4db9fe89453fd |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T03:58:05Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-dc5314f52e1644cbb9f4db9fe89453fd2023-11-18T00:23:23ZengMDPI AGApplied Sciences2076-34172023-05-011310628610.3390/app13106286Optimal Driving Model for Connected and Automated Electric Freight Vehicles in a Wireless Charging Scenario at Signalised IntersectionsWenbo Wang0Songhua Fan1Zijian Wang2Xinpeng Yao3Kenan Mu4School of Information Engineering, Chang’an University, Xi’an 710064, ChinaShandong Key Laboratory of Smart Transportation (Preparation), Jinan 250014, ChinaShandong Key Laboratory of Smart Transportation (Preparation), Jinan 250014, ChinaShandong Key Laboratory of Smart Transportation (Preparation), Jinan 250014, ChinaSchool of Electronics and Control Engineering, Chang’an University, Xi’an 710064, ChinaElectric freight vehicles have become an important means of transportation in connected and automated environments owing to their numerous advantages. However, the generally short driving range of connected and automated electric freight vehicles (CAEFVs) does not satisfy the growing transport demand. In this study, wireless charging technology is employed to construct a complex driving scenario including urban roads and dynamic wireless charging facilities. A combination of variable-scale elements consisting of vehicles, roads, and the environment is analysed hierarchically to develop a wireless charging scheme for urban transport systems. Using passage efficiency, energy consumption, and passenger comfort as the joint optimisation objectives, an optimal driving model for CAEFVs in wireless charging scenarios at signalised intersections combining scenario boundaries and vehicle dynamic constraints is proposed. Considering the differentiated charging needs of vehicles, this model is divided into a time priority strategy (TPS), balance priority strategy (BPS), and charging priority strategy (CPS). The obtained results reveal that the CPS is superior to the TPS in terms of the charging benefits but requires a longer travel time. Meanwhile, the BPS increases the charging benefits and passing efficiency. This study provides guidance for the deployment of wireless charging lanes with a high application value.https://www.mdpi.com/2076-3417/13/10/6286electric freight vehiclewireless charging technologyoptimal driving modelsignalised intersectionmarket penetration ratepassing strategy |
| spellingShingle | Wenbo Wang Songhua Fan Zijian Wang Xinpeng Yao Kenan Mu Optimal Driving Model for Connected and Automated Electric Freight Vehicles in a Wireless Charging Scenario at Signalised Intersections Applied Sciences electric freight vehicle wireless charging technology optimal driving model signalised intersection market penetration rate passing strategy |
| title | Optimal Driving Model for Connected and Automated Electric Freight Vehicles in a Wireless Charging Scenario at Signalised Intersections |
| title_full | Optimal Driving Model for Connected and Automated Electric Freight Vehicles in a Wireless Charging Scenario at Signalised Intersections |
| title_fullStr | Optimal Driving Model for Connected and Automated Electric Freight Vehicles in a Wireless Charging Scenario at Signalised Intersections |
| title_full_unstemmed | Optimal Driving Model for Connected and Automated Electric Freight Vehicles in a Wireless Charging Scenario at Signalised Intersections |
| title_short | Optimal Driving Model for Connected and Automated Electric Freight Vehicles in a Wireless Charging Scenario at Signalised Intersections |
| title_sort | optimal driving model for connected and automated electric freight vehicles in a wireless charging scenario at signalised intersections |
| topic | electric freight vehicle wireless charging technology optimal driving model signalised intersection market penetration rate passing strategy |
| url | https://www.mdpi.com/2076-3417/13/10/6286 |
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