| OPTIMIZATION OF GEAR RATIO OF IN-WHEEL MOTOR VEHICLE
CONSIDERING PROBABILISTIC DRIVER MODEL |
| Kihan Kwon, Minsik Seo, Seungjae Min |
| Hanyang University |
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| ABSTRACT |
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A reduction gear of an in-wheel motor vehicle is mounted between a traction motor and wheel, to increase the
wheel torque and decrease the rotational speed. To improve the energy efficiency of a vehicle, the determination of the optimal
gear ratio is an important factor in the design of the reduction gear. This paper presents an optimization procedure to obtain
the optimal gear ratio of an in-wheel motor vehicle that minimizes the electric energy consumption. Using a model-based
design, a dynamic simulation model of a vehicle was developed for an analysis of the energy efficiency. Owing to a variation
in energy efficiency across drivers, a probabilistic driver model that includes driver characteristics is employed. To reduce
excessive calculations, a surrogate model was constructed for the optimization. The optimal gear ratio for saving energy was
obtained, and the usefulness of the proposed optimization procedure was shown through a comparison of the results of the
optimal gear ratio and the energy efficiency achieved between deterministic and probabilistic approaches. |
| Key Words:
In-wheel motor vehicle, Gear ratio, Energy efficiency, Probabilistic driver model, Surrogate model |
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Corresponding Author.
Seungjae Min , Email. 
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