Regenerative braking control system
AssigneeFord Global Technologies, LLC
InventorsHerbert David Mendez Pineda, David Ostrowski, Mohan John, Victoria Leigh Schein, William G. Herbert, Madeleine Itzel Santiago Estrada
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Abstract
A vehicle includes an electric machine and a controller. The electric machine is configured to draw energy from a battery to propel the vehicle and to recharge the battery during regenerative braking. The controller is programmed to, in response to identifying a regenerative braking opportunity along an upcoming road segment based on a classification of driver behavior and a classification of the upcoming road segment, operate the electric machine to recharge the battery along the upcoming road segment.
Claims17
A vehicle comprising:
- an electric machine configured to draw energy from a battery to propel the vehicle and to recharge the battery during regenerative braking;
- and
- a controller programmed to, in response to identifying a regenerative braking opportunity along an upcoming road segment based on a classification of a current driver behavior and a classification of the upcoming road segment, operate the electric machine to recharge the battery along the upcoming road segment, wherein the classification of the upcoming road segment is selected from one of multiple road segment classifications that were established based on an application of a k-means clustering algorithm to road segment characteristic data from multiple road segments.
A vehicle battery recharging method:
- collecting driver behavior and road segment characteristic data from multiple drivers over multiple segments;
- establishing a current driver behavior classification based on the driver behavior data, wherein the current driver behavior classification is selected from one of multiple driver classifications that were established based on an application of a k-means clustering algorithm to the driver behavior data from multiple drivers;
- establishing an upcoming road segment classification based on the road segment characteristic data;
- identifying a regenerative braking opportunity along the upcoming road segment by cross-referencing the driver behavior classification to the upcoming road segment classification;
- and
- recharging the battery via regenerative braking along the upcoming road segment.
A vehicle comprising:
- an electric machine configured to draw energy from a battery to propel the vehicle and to recharge the battery during regenerative braking;
- and
- a controller programmed to,
- in response to identifying a regenerative braking opportunity along an upcoming road segment based on classifications of current driver behavior and the upcoming road segment, schedule a regenerative braking event along the upcoming road segment, wherein data from multiple drivers and multiple road segments is utilized to determine the classifications of the current driver behavior and the upcoming road segment, and
- in response to a battery charge capacity being less than a value required to recoup an estimated potential regenerative braking energy during the scheduled regenerative braking event, operate the electric machine to increase the battery charge capacity to greater than the value prior to the scheduled regenerative braking event, wherein the estimated potential regenerative braking energy during the scheduled regenerative braking event is based on applying a nearest neighbor algorithm to the data.
Dependencies are inferred from the claim text.