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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.14236 |
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| _version_ | 1866917088611794944 |
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| author | van Kampen, Jorn Huang, Chun-Cheng Salazar, Mauro |
| author_facet | van Kampen, Jorn Huang, Chun-Cheng Salazar, Mauro |
| contents | This study presents a framework for optimizing the two-dimensional (2D) placement of electric motorcycle powertrain elements, accounting for the position, the orientation and geometric irregularities. Specifically, we construct a 2D placement model at the component level in which we include near-continuous rotation of components and allow for irregular subsystem geometries to make optimal use of the limited design space. Second, we introduce linearization techniques for the trigonometric constraints and formulate the placement problem as a mixed-integer quadratic program (MIQP). Finally, we demonstrate our framework on two electric motorcycle powertrain topologies and study the influence of the geometry complexity on the placement solutions. The results show that gradually increasing complexity leads to more manageable computation times and higher the complexity solution improves handling performance by 2.5% compared to the benchmark placement found in existing electric motorcycles. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_14236 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Two-dimensional Spatial Optimization for Electric Motorcycle Powertrain Elements using Mixed-integer Programming van Kampen, Jorn Huang, Chun-Cheng Salazar, Mauro Optimization and Control Systems and Control This study presents a framework for optimizing the two-dimensional (2D) placement of electric motorcycle powertrain elements, accounting for the position, the orientation and geometric irregularities. Specifically, we construct a 2D placement model at the component level in which we include near-continuous rotation of components and allow for irregular subsystem geometries to make optimal use of the limited design space. Second, we introduce linearization techniques for the trigonometric constraints and formulate the placement problem as a mixed-integer quadratic program (MIQP). Finally, we demonstrate our framework on two electric motorcycle powertrain topologies and study the influence of the geometry complexity on the placement solutions. The results show that gradually increasing complexity leads to more manageable computation times and higher the complexity solution improves handling performance by 2.5% compared to the benchmark placement found in existing electric motorcycles. |
| title | Two-dimensional Spatial Optimization for Electric Motorcycle Powertrain Elements using Mixed-integer Programming |
| topic | Optimization and Control Systems and Control |
| url | https://arxiv.org/abs/2511.14236 |