Minimizing the Energy Consumption of BEV Speed Trajectory Based on Dynamic Programming

Especially, people consider changing the Battery Electric Vehicle because of the air pollution. But the power to move the vehicle is made of the fossil fuel that is influenced by the air pollution. Therefore, optimizing the vehicle movement is necessary. Finding the optimal speed trajectory use Dynamic programming to guarantee the global optimization in certification cycle (UDDS, HWFET cycle). Because the certification cycle exists all the driving scenarios (acceleration, braking, coasting, cruising), Speed trajectory is derived from the various driving scenarios. The speed trajectory has a phenomenon of following the lower boundary, coast driving and using the high motor efficiency.

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Publication Details

Published
2024-10-07
DOI
https://doi.org/10.1109/vppc63154.2024.10755225
Citations
1
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
0.20

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Minimizing the Energy Consumption of BEV Speed Trajectory Based on Dynamic Programming

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Minimizing the Energy Consumption of BEV Speed Trajectory Based on Dynamic Programming

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article en
1 citations

Abstract

Especially, people consider changing the Battery Electric Vehicle because of the air pollution. But the power to move the vehicle is made of the fossil fuel that is influenced by the air pollution. Therefore, optimizing the vehicle movement is necessary. Finding the optimal speed trajectory use Dynamic programming to guarantee the global optimization in certification cycle (UDDS, HWFET cycle). Because the certification cycle exists all the driving scenarios (acceleration, braking, coasting, cruising), Speed trajectory is derived from the various driving scenarios. The speed trajectory has a phenomenon of following the lower boundary, coast driving and using the high motor efficiency.

Hanyang University (KR)
National Research Foundation
Affordable and clean energy
Openalex Percentile: Top 48%
Electric and Hybrid Vehicle Technologies
0.20
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