Self-adaptive driving mode control method and device

Abstract

The invention relates to a self-adaptive driving mode control method and device, and a computer readable storage medium. The control method comprises the following steps: collecting vehicle speed data and operation data of a vehicle are collected; calculating a target index according to the vehicle speed data and the operation data; adjusting the current index of the vehicle according to the target index; correcting the corresponding relation between the output torque and the vehicle speed data and the operation data and the corresponding relation between the torque response and the vehicle speed data and the operation data according to the adjusted current index; and calling the corrected corresponding relations according to the adjusted current indexes so as to operate the self-adaptive driving mode. According to the invention, adaptive learning can be carried out according to the driving style and the driving habit of the driver, and the torque analysis and the torque filtering of the vehicle can be adjusted in real time, so that personalized driving requirements of different users and different road conditions can be met.

Description

technical field [0001] The present invention relates to a control technology of a new energy vehicle, in particular to a control method for an adaptive driving style (Self-Adaption Drive Style, SDS) mode, and a control device for an adaptive driving mode. Background technique [0002] In the current new energy vehicle products, there are generally 2 to 3 driving modes such as economy (ECO), normal (NORMAL), and sports (SPORT). In different driving modes, different torque analysis sizes and torque filter sizes are set. Users can switch driving modes arbitrarily according to their own preferences. [0003] However, the setting granularity of this fixed driving mode is relatively large, which cannot meet the user's preferences and needs between several modes. For example: the user expects the vehicle to drive in a more economical mode to appropriately increase its cruising range, but at the same time feels that the torque response of the vehicle's inherent economical mode is ...

AI Technical Summary

Problems solved by technology

[0003] However, the setting granularity of this fixed driving mode is relatively large, which cannot meet the preferences and needs of users between several modes.

For example: the user expects the vehicle to drive in a more economical mode to appropriately increase its cruising range, but at the same time feels that the torque response of the vehicle's inherent economical mode is too low to meet its acceleration needs for the vehicle

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