Toyota Motor Engineering & Manufacturing North America, Inc.

Toyota Jidosha Kabushiki Kaisha

Allison McGowan

Geoffrey David Gaither

Nathan C Westover

Arlo C Eitzer

Benjamin J Groelke

Max K Ralya

A battery manager includes a pattern estimator, a prediction engine, and a charging scheduler. The pattern estimator estimates a driving pattern of an electric vehicle. The prediction engine predicts a charging parameter based on at least one of the driving pattern or driver charging behavior. The charging scheduler outputs the charging parameter to control charging of a secondary battery of the electric vehicle. The pattern estimator may estimate the driving pattern based on information from at least one information source of the electric vehicle. The prediction engine predicts the charging parameter of the secondary battery in preparation of a future use of the electric vehicle.

Adjusting battery soc based on future use of an electric vehicle

An assessment method for a vehicle part includes an identifying feature of the vehicle part with a visual detector. The assessment method includes identifying the vehicle part with a processing unit based on the identifying feature. The assessment method includes detecting a visual quality of the vehicle part with the visual detector. The assessment method includes calculating a present value of the vehicle part with the processing unit. The step of calculating the present value is based at least in part on the visual quality. The assessment method includes determining a recommended use of the vehicle part with the processing unit. The step of determining the recommended use is based on the present value.

Vehicle assessment systems and methods

Vehicle systems, computer-implemented methods, and computer program products to enhance the situational competency and/or the safe operation of a vehicle by automatically controlling the vehicle in response to a biometric attribute analysis of one or more objects detected within a predetermined threshold distance of the vehicle.

Object detection system for a vehicle

Vehicle systems, computer-implemented methods, and computer program products to enhance the situational competency and/or the safe operation of a vehicle by automatically controlling the vehicle in response to executing measurable attribute data analysis that includes a comparison of the relative height of a detected road infrastructure element with a predetermined threshold height value.

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Ann Arbor, MI, United States of America

Allison McGowan