A New Dual Axle Drive Optimization Control Strategy for Electric Vehicles Using Vehicle-to-Infrastructure Communications
In this article, we proposed an optimal torque distribution strategy for pure electric vehicles based on Vehicle-to-Infrastructure (V2I) communication. V2I communication is used to obtain road surface adhesion coefficient, road roughness, and other information. Different speed and torque requirement...
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| Veröffentlicht in: | IEEE transactions on industrial informatics 2020-04, Vol.16 (4), p.2574-2582 |
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| container_title | IEEE transactions on industrial informatics |
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| creator | Xiong, Huiyuan Tan, Zhirong Zhang, Ronghui He, Shan |
| description | In this article, we proposed an optimal torque distribution strategy for pure electric vehicles based on Vehicle-to-Infrastructure (V2I) communication. V2I communication is used to obtain road surface adhesion coefficient, road roughness, and other information. Different speed and torque requirements for different road surface are analyzed. Then, according to motor map characteristics, a dual motor torque optimization distribution control strategy is proposed and a dual motor optimal torque distribution control method for adaptive road surface is established. Finally, the hardware-in-the-loop test system is used to verify the control strategy. New European Driving Cycle is used to simulate the control strategy. The off-line simulation results show that under adaptive road surfaces, the energy optimization rate is improved. To a certain extent, this article can provide a value reference to optimal power distribution strategy for modern smart pure electric vehicles. |
| doi_str_mv | 10.1109/TII.2019.2944850 |
| format | Article |
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V2I communication is used to obtain road surface adhesion coefficient, road roughness, and other information. Different speed and torque requirements for different road surface are analyzed. Then, according to motor map characteristics, a dual motor torque optimization distribution control strategy is proposed and a dual motor optimal torque distribution control method for adaptive road surface is established. Finally, the hardware-in-the-loop test system is used to verify the control strategy. New European Driving Cycle is used to simulate the control strategy. The off-line simulation results show that under adaptive road surfaces, the energy optimization rate is improved. 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V2I communication is used to obtain road surface adhesion coefficient, road roughness, and other information. Different speed and torque requirements for different road surface are analyzed. Then, according to motor map characteristics, a dual motor torque optimization distribution control strategy is proposed and a dual motor optimal torque distribution control method for adaptive road surface is established. Finally, the hardware-in-the-loop test system is used to verify the control strategy. New European Driving Cycle is used to simulate the control strategy. The off-line simulation results show that under adaptive road surfaces, the energy optimization rate is improved. To a certain extent, this article can provide a value reference to optimal power distribution strategy for modern smart pure electric vehicles.</description><subject>Adaptive control</subject><subject>Adaptive road surface</subject><subject>Axles</subject><subject>Control systems</subject><subject>cooperative vehicle infrastructure system</subject><subject>dual axle drive</subject><subject>Electric power distribution</subject><subject>Electric vehicles</subject><subject>Hardware-in-the-loop simulation</subject><subject>optimal torque distribution</subject><subject>Optimization</subject><subject>pure electric vehicles</subject><subject>Roads</subject><subject>Shafts (machine elements)</subject><subject>Strategy</subject><subject>Torque</subject><subject>Vehicle-to-infrastructure</subject><subject>Wheels</subject><issn>1551-3203</issn><issn>1941-0050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1PwkAQhhujiYjeTbxs4rk4-0W7RwKoJEQOgtdmu0xxSWlxd6vgr7cIepqZ5HnfSZ4ouqXQoxTUw3wy6TGgqseUEKmEs6hDlaAxgITzdpeSxpwBv4yuvF8D8AS46kS7AXnBLzJqdEkGuxLJyNlPJLNtsBv7rYOtKzKsq-DqkrwGpwOu9qSoHRmXaIKzhrzhuzUlerLwtlr9nXGo40lVOO2Da0xoHLY1m01TWfNb6q-ji0KXHm9OsxstHsfz4XM8nT1NhoNpbJiiIUamFIDRSwSZIE2hD1Iw5EUi8iXjuVomggmZGDC5zkXaYrQvc4l0qYs-L3g3uj_2bl390aAP2bpuXNW-zBgXUjLWl6yl4EgZV3vvsMi2zm6022cUsoPfrPWbHfxmJ79t5O4YsYj4j6epFJQz_gOTT3eh</recordid><startdate>20200401</startdate><enddate>20200401</enddate><creator>Xiong, Huiyuan</creator><creator>Tan, Zhirong</creator><creator>Zhang, Ronghui</creator><creator>He, Shan</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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V2I communication is used to obtain road surface adhesion coefficient, road roughness, and other information. Different speed and torque requirements for different road surface are analyzed. Then, according to motor map characteristics, a dual motor torque optimization distribution control strategy is proposed and a dual motor optimal torque distribution control method for adaptive road surface is established. Finally, the hardware-in-the-loop test system is used to verify the control strategy. New European Driving Cycle is used to simulate the control strategy. The off-line simulation results show that under adaptive road surfaces, the energy optimization rate is improved. 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| ispartof | IEEE transactions on industrial informatics, 2020-04, Vol.16 (4), p.2574-2582 |
| issn | 1551-3203 1941-0050 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Adaptive control Adaptive road surface Axles Control systems cooperative vehicle infrastructure system dual axle drive Electric power distribution Electric vehicles Hardware-in-the-loop simulation optimal torque distribution Optimization pure electric vehicles Roads Shafts (machine elements) Strategy Torque Vehicle-to-infrastructure Wheels |
| title | A New Dual Axle Drive Optimization Control Strategy for Electric Vehicles Using Vehicle-to-Infrastructure Communications |
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