BYD

Last updated February 1, 2026

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Dynamic gear position learning algorithms: BYDRecent Research Landscape

Mechanical wear and sensor drift in transmission systems cause gear-shift inaccuracies that lead to drivetrain failure. These innovations utilize real-time learning algorithms to recalibrate neutral and active gear positions during operation.

What technical problems is BYD addressing in Dynamic gear position learning algorithms?

Inconsistent gear shift timing

(15)evidences

Disruptions in power delivery during gear or mode transitions cause poor drivability and mechanical stress. Eliminating these fluctuations ensures seamless acceleration and powertrain longevity.

Inaccurate gear position detection

(14)evidences

Mechanical tolerances and sensor drift in electronic shifters lead to misalignment between the physical selector and the intended transmission state. Resolving this prevents unintended vehicle movement and transmission damage.

Inaccurate neutral position detection

(11)evidences

Mechanical tolerances and wear cause misalignment between physical gear states and sensor readings. Correcting this drift prevents transmission engagement failures and unintended vehicle movement.