Optimization of Gear Ratio of In-Wheel Motor Vehicle Considering Probabilistic Driver Model

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 reductio...

Full description

Saved in:
Bibliographic Details
Published in:International journal of automotive technology 2018-12, Vol.19 (6), p.1081-1089
Main Authors: Kwon, Kihan, Seo, Minsik, Min, Seungjae
Format: Article
Language:English
Subjects:
Artificial intelligence
Automobiles
Automotive Engineering
Autonomous cars
Computer simulation
Controllers
Cooperative control
Cruise control
Design optimization
Embedded systems
Energy consumption
Energy efficiency
Engineering
Fault tolerance
Highways
Optimization
Platooning
Studies
Supervisory control
Vehicles
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1229-9138
1976-3832
DOI:10.1007/s12239-018-0106-0