公开(公告)号：US09919715B2

公开(公告)日：2018-03-20

申请号：US15143558

申请日：2016-04-30

Applicant: Ford Global Technologies, LLC

Inventor： Fling Finn Tseng ,  Kwaku O. Prakah-Asante ,  Jianbo Lu ,  Steven Joseph Szwabowski ,  Perry Robinson MacNeille ,  Xiaoming Wang

IPC: B60W50/08 ,  B60W10/00 ,  B60K35/00

CPC classification number: B60W50/082 ,  B60K35/00 ,  B60W10/00 ,  B60W50/0097 ,  B60W50/0098 ,  B60W2050/0075 ,  B60W2050/0077 ,  B60W2050/0089 ,  B60W2540/28

Abstract: Systems and methods for vehicle mode scheduling with learned user preferences include monitoring vehicle data when a vehicle changes from a first mode to a second mode. The method also includes analyzing the vehicle data to identify a preference for the second mode during a driving context. Additionally, the method includes generating a recommendation on whether to switch to the second mode while traversing a route based on the vehicle data, and the driving context, and presenting the recommendation to the driver.

公开(公告)号：US10035510B2

公开(公告)日：2018-07-31

申请号：US15167447

申请日：2016-05-27

Applicant: FORD GLOBAL TECHNOLOGIES, LLC

Inventor： Kwaku O. Prakah-Asante ,  Fling Tseng ,  Steven Joseph Szwabowski ,  Jianbo Lu ,  Perry Robinson MacNeille ,  Xiaoming Wang

IPC: B60W30/18

CPC classification number: B60W30/18172 ,  B60W40/068 ,  B60W50/14 ,  B60W2050/0031 ,  B60W2050/0089 ,  B60W2400/00 ,  B60W2520/105 ,  B60W2520/14 ,  B60W2550/148 ,  B60W2720/26

Abstract: A controller may indicate a low-traction mode of a vehicle when a longitudinal tracking accumulation exceeds a first threshold value and a lateral response accumulation exceeds a second threshold value. The longitudinal tracking accumulation may measure a tally of activation of a traction control system over time. The lateral response accumulation may measure a comparison of the vehicle yaw-rate to a driver-desired model-based prediction of the yaw-rate. The controller may indicate the low-traction mode by providing a recommendation to switch to the low-traction mode in a human-machine interface screen of the vehicle, or by automatically adjusting the operational mode of at least one electronic control unit of the vehicle to implement the low-traction mode.

公开(公告)号：US09522586B2

公开(公告)日：2016-12-20

申请号：US14618077

申请日：2015-02-10

Applicant: Ford Global Technologies, LLC

Inventor： Jianbo Lu ,  Steven Joseph Szwabowski ,  Kwaku O. Prakah-Asante ,  Fling Tseng ,  Perry Robinson MacNeille ,  Xiaoming Wang

IPC: B60G17/0165 ,  B60W30/18 ,  B62D6/00

CPC classification number: B60G17/0165 ,  B60G17/019 ,  B60G17/02 ,  B60G17/06 ,  B60G2200/44 ,  B60G2500/10 ,  B60G2500/20 ,  B60W30/18 ,  B62D6/007

Abstract: A vehicle selectively operates in a plurality of operational modes. The operational modes carry with them different commands for operating a controlled suspension system such as a continuously controlled damping suspension system, a controlled steering system such as an electronic power-assist steering system, and a powertrain of the vehicle. For example, in one operational mode, the powertrain might be more sensitive to output torque from a motor or engine quickly with little hesitation. The vehicle includes a sensing system, such as a plurality of suspension height sensors and a corresponding controller programmed to receive suspension height signals indicating the characteristic of the road, to categorize the signals, and to compute categorized vehicle characteristics such as vehicle pitch, heave, roll, yaw, etc. The controller can discretize the categorized signals into a discrete number of index values, and then command the vehicle to change operational mode based on the discrete index value.

Abstract translation: 车辆选择性地以多种操作模式操作。 操作模式带有不同的命令，用于操作诸如连续控制的阻尼悬挂系统，受控转向系统（例如电子助力转向系统）和车辆的动力系统的受控悬架系统。 例如，在一种操作模式中，动力系可能对于马达或发动机的输出扭矩更加敏感，并且几乎没有犹豫。 车辆包括诸如多个悬架高度传感器的感测系统和被编程为接收指示道路特征的悬挂高度信号以对信号进行分类并且计算车辆间距，起伏等分类车辆特性的相应控制器， 滚动，偏航等。控制器可以将分类信号离散成离散数量的索引值，然后根据离散索引值命令车辆改变操作模式。

公开(公告)号：US20170313323A1

公开(公告)日：2017-11-02

申请号：US15143558

申请日：2016-04-30

Applicant: Ford Global Technologies, LLC

Inventor： Fling Finn Tseng ,  Kwaku O. Prakah-Asante ,  Jianbo Lu ,  Steven Joseph Szwabowski ,  Perry Robinson MacNeille ,  Xiaoming Wang

IPC: B60W50/08 ,  B60K35/00

CPC classification number: B60W50/082 ,  B60K35/00 ,  B60W10/00 ,  B60W50/0097 ,  B60W50/0098 ,  B60W2050/0075 ,  B60W2050/0077 ,  B60W2050/0089 ,  B60W2540/28

Abstract: Example systems and methods for vehicle mode scheduling with learned user preferences are disclosed. The example disclosed method includes monitoring vehicle data when a vehicle changes from a first mode to a second mode. The example method also includes analyzing the vehicle data to identify a preference for the second mode during a driving context. Additionally, the example method includes generating a recommendation on whether to switch to the second mode while traversing a route based on the vehicle data, and the driving context, and presenting the recommendation to the driver.