| CPC B60W 10/04 (2013.01) [B60W 2300/44 (2013.01); B60W 2555/20 (2020.02)] | 20 Claims |

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1. An adaptive control method based on train operating condition identification, comprising:
acquiring operating state data of a train under different traction conditions by adopting a multi-sensor fused adhesion characteristic state self-calibration observer and calculating to obtain traction and braking performance data:
combining the traction and braking performance data, line information data and operating control information to form a multi-sensor fused adhesion condition characteristic related data set;
dividing, based on the adhesion condition characteristic related data set, train adhesion conditions into Nz grades by adopting a fuzzy clustering-based false nearest neighbors algorithm, wherein Nz is a natural number, and
![]() identifying a train current adhesion condition grade Nd based on a number Nz of train adhesion condition grades and current operating state data, wherein Nd is a natural number,
![]() and
![]() inputting the train current adhesion condition grade Nd and establishing a mapping relationship between an adhesion coefficient and a maximum deceleration for train braking under the current adhesion condition grade; and
generating a train protection curve based on the mapping relationship between the adhesion coefficient and the maximum deceleration for train braking under the current adhesion condition grade.
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