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Individual Drive-Wheel Energy Management for Rear-Traction Electric Vehicles with In-Wheel Motors

doi: 10.3390/app11104679
In-wheel motor technology has reduced the number of components required in a vehicle’s power train system, but it has also led to several additional technological challenges. According to kinematic laws, during the turning maneuvers of a vehicle, the tires must turn at adequate rotational speeds to provide an instantaneous center of rotation. An Electronic Differential System (EDS) controlling these speeds is necessary to ensure speeds on the rear axle wheels, always guaranteeing a tractive effort to move the vehicle with the least possible energy. In this work, we present an EDS developed, implemented, and tested in a virtual environment using MATLAB™, with the proposed developments then implemented in a test car. Exhaustive experimental testing demonstrated that the proposed EDS design significantly improves the test vehicle’s longitudinal dynamics and energy consumption. This paper’s main contribution consists of designing an EDS for an in-wheel motor electric vehicle (IWMEV), with motors directly connected to the rear axle. The design demonstrated effective energy management, with savings of up to 21.4% over a vehicle without EDS, while at the same time improving longitudinal dynamic performance.
Technology, QH301-705.5, QC1-999, powertrain, in-wheel motors, energy consumption, automotive control, Biology (General), QD1-999, electronic differential, electric vehicles, T, Physics, Engineering (General). Civil engineering (General), electromobility, Chemistry, TA1-2040, vehicle dynamics control, wheel-speed control
Technology, QH301-705.5, QC1-999, powertrain, in-wheel motors, energy consumption, automotive control, Biology (General), QD1-999, electronic differential, electric vehicles, T, Physics, Engineering (General). Civil engineering (General), electromobility, Chemistry, TA1-2040, vehicle dynamics control, wheel-speed control
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).5 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
