公开(公告)号：US20150243109A1

公开(公告)日：2015-08-27

申请号：US14189778

申请日：2014-02-25

Applicant: Ford Global Technologies, LLC

Inventor： Fling Tseng ,  Imad Hassan Makki ,  Robert Roy Jentz ,  Aed M. Dudar ,  Dimitar Petrov Filev ,  John Ottavio Michelini

IPC: G07C5/00

CPC classification number: G07C5/00 ,  G07C5/0808

Abstract: Methods and systems are provided for improving the frequency of attempting and successfully completing one or more on-board diagnostic routines. Engine operating conditions are predicted based on a vehicle operator's driving pattern and routines are initiated if the predicted conditions match the conditions required for performing the routine. If the conditions do not match, entry and/or execution conditions of the routine are adjusted to better match the predicted conditions, so as to enable the routine to be attempted.

Abstract translation: 提供了用于提高尝试和成功完成一个或多个车载诊断程序的频率的方法和系统。 根据车辆驾驶员驾驶模式来预测发动机运行条件，并且如果预测的条件与执行该程序所需的条件匹配，则起动例程。 如果条件不匹配，则调整例程的条目和/或执行条件以更好地匹配预测的条件，以便能够尝试该例程。

公开(公告)号：US20150154867A1

公开(公告)日：2015-06-04

申请号：US14618064

申请日：2015-02-10

Applicant: Ford Global Technologies, LLC

Inventor： Fling Tseng ,  Kwaku O. Prakah-Asante ,  Dimitar Petrov Filev ,  Shane Elwart ,  Jianbo Lu

IPC: G08G1/0967

CPC classification number: G08G1/096766 ,  G08G1/0112

Abstract: A system includes a processor configured to project monitoring needs for a road segment. The processor is further configured to contact one or more vehicles traveling on the road segment during a time of monitoring need. The processor is additionally configured to instruct a first number, determined based on a projected monitoring need, of contacted vehicles to being monitoring and reporting traffic data for the road segment.

Abstract translation: 一种系统包括处理器，该处理器被配置成投影路段的监视需求。 处理器还被配置为在监视需要的时间期间联系在道路段上行驶的一个或多个车辆。 处理器还被配置为指示接触到的车辆的基于预计的监视需要确定的第一个数字来监视和报告道路段的交通数据。

公开(公告)号：US08990000B2

公开(公告)日：2015-03-24

申请号：US13868570

申请日：2013-04-23

Applicant: Ford Global Technologies, LLC

Inventor： Doug S. Rhode ,  Jianbo Lu ,  Eric Hongtei Tseng ,  Dimitar Petrov Filev ,  Davor Hrovat ,  David Michael Russell ,  Uwe Hoffmann ,  Peter W. A. Zegelaar ,  Moshen Lakehal-ayat ,  Michael Seemann ,  Simon Baales

IPC: G06G7/48 ,  B60G17/018 ,  B60G17/017 ,  B60G17/02 ,  B60G17/06

CPC classification number: B60G17/0182 ,  B60G17/017 ,  B60G17/02 ,  B60G17/06 ,  B60G2400/0511 ,  B60G2400/0512 ,  B60G2400/0513 ,  B60G2400/10 ,  B60G2400/102 ,  B60G2400/104 ,  B60G2400/106 ,  B60G2400/204 ,  B60G2400/2042 ,  B60G2400/208 ,  B60G2400/252 ,  B60G2400/33 ,  B60G2400/39 ,  B60G2400/41 ,  B60G2400/52 ,  B60G2400/62 ,  B60G2400/82 ,  B60G2401/174 ,  B60G2500/10 ,  B60G2500/20

Abstract: A method for estimating a location of a center of gravity (CG) of a sprung mass of a vehicle includes steps of a) determining whether the vehicle is stationary or moving; b) if the vehicle is stationary, calculating estimated x and y coordinates of the CG; c) storing the estimated coordinates in memory; and d) repeating steps a)-c) until the vehicle is no longer stationary.

Abstract translation: 用于估计车辆的悬挂质量的重心（CG）的位置的方法包括以下步骤：a）确定车辆是静止的还是移动的; b）如果车辆是静止的，则计算CG的估计x和y坐标; c）将所估计的坐标存储在存储器中; 和d）重复步骤a）-c）直到车辆不再是静止的。

公开(公告)号：US20140380240A1

公开(公告)日：2014-12-25

申请号：US14480670

申请日：2014-09-09

Applicant: Ford Global Technologies, LLC

Inventor： James Stewart Rankin ,  Basavaraj Tonshal ,  Pietro Buttolo ,  Yifan Chen ,  Gary Steven Strumolo ,  Jeffrey Allen Greenberg ,  Dimitar Petrov Filev ,  Krishnaswamy Venkatesh Prasad

IPC: G06F3/0482 ,  G06F3/0484

CPC classification number: G06F3/0482 ,  B60K35/00 ,  B60K37/06 ,  B60K2370/563 ,  B60K2370/566 ,  B60K2370/569 ,  B60K2370/573 ,  B60K2370/589 ,  B60K2370/5899 ,  B60K2370/592 ,  G06F3/048 ,  G06F3/04842

Abstract: A vehicle computer system comprising a wireless transceiver configured to send a nomadic device human machine interface to a nomadic device in a web browser format. The vehicle computer system further comprises a vehicle server utilizing a contextual data aggregator that utilizes vehicle data and off-board data to generate a dynamic human machine interface, the server further configured to generate an in-vehicle human machine interface for output on a vehicle display and generate the nomadic device human machine interface for the nomadic device to display.

Abstract translation: 一种车辆计算机系统，包括无线收发器，其被配置为以网络浏览器格式向游牧设备发送游牧设备人机接口。 车辆计算机系统还包括使用利用车辆数据和车外数据生成动态人机界面的情境数据聚合器的车辆服务器，所述服务器还被配置为产生车载人机界面以在车辆显示器上输出 并生成游牧设备人机界面，显示游牧设备。

公开(公告)号：US20140236385A1

公开(公告)日：2014-08-21

申请号：US14263815

申请日：2014-04-28

Applicant: Ford Global Technologies, LLC

Inventor： Dimitar Petrov Filev ,  Jianbo Lu ,  Kwaku O. Prakah-Asante ,  Fling Tseng

IPC: B60W50/08

CPC classification number: B60W50/08 ,  B62D6/007

Abstract: A method for tuning a vehicle's performance may include measuring a plurality of parameters representing the vehicle's current handling condition and the vehicle's limit handling condition, determining a margin between the vehicle's current handling condition and limit handling condition, characterizing the driver's dynamic control of the vehicle based on the margin, and altering at least one tunable vehicle performance parameter based on the characterization.

Abstract translation: 用于调整车辆性能的方法可以包括测量表示车辆的当前处理条件和车辆的极限处理条件的多个参数，确定车辆当前处理条件和极限处理条件之间的裕度，表征驾驶员基于车辆的动态控制 在边缘上，并且基于表征改变至少一个可调谐车辆性能参数。

公开(公告)号：US20140012456A1

公开(公告)日：2014-01-09

申请号：US14023566

申请日：2013-09-11

Applicant: FORD GLOBAL TECHNOLOGIES, LLC

Inventor： Fazal Urrahman Syed ,  Dimitar Petrov Filev ,  Finn Tseng

IPC: G06F17/00

CPC classification number: B60W20/11 ,  B60K6/445 ,  B60L2240/486 ,  B60W10/06 ,  B60W10/08 ,  B60W20/00 ,  B60W30/1882 ,  B60W50/16 ,  B60W2050/0095 ,  G06F17/00 ,  Y02T10/52 ,  Y02T10/6239 ,  Y02T10/6286 ,  Y02T10/84 ,  Y10S903/903

Abstract: A vehicle powertrain controller includes a fuzzy logic-based adaptive algorithm with a learning capability that estimates a driver's long term driving preferences. An adaptive algorithm arbitrates competing requirements for good fuel economy, avoidance of intrusiveness and vehicle drivability. A driver's acceptance or rejection of advisory information may be used to adapt subsequent advisory information to the driving style. Vehicle performance is maintained in accordance with a driver's driving style.

Abstract translation: 车辆动力总成控制器包括具有学习能力的基于模糊逻辑的自适应算法，其估计驾驶员的长期驾驶偏好。 一种适应性算法对优化燃油经济性，避免干扰性和车辆驾驶性能的竞争要求进行了仲裁。 驾驶员接受或拒绝咨询信息可用于将随后的咨询信息调整为驾驶风格。 车辆性能是根据驾驶员的驾驶风格保持的。

公开(公告)号：US20130197751A1

公开(公告)日：2013-08-01

申请号：US13795106

申请日：2013-03-12

Applicant: FORD GLOBAL TECHNOLOGIES, LLC

Inventor： Kwaku O. Prakah-Asante ,  Dimitar Petrov Filev ,  Finn Tseng ,  Jianbo Lu

IPC: G06F17/00

CPC classification number: G06F17/00 ,  B60W50/087 ,  B60W2520/10 ,  B60W2520/105 ,  B60W2520/125 ,  B60W2520/14 ,  B60W2540/18 ,  B60W2550/12 ,  G01C21/3641

Abstract: A vehicle's dynamic handling state, driver inputs to the vehicle, etc. may be examined to determine one or more measures of driver workload. Driver interface tasks may then be delayed and/or prevented from executing based on the driver workload so as to not increase the driver workload. Alternatively, driver interface tasks may be schedule for execution based on the driver workload and caused to execute according to the schedule, for example, to minimize the impact the executing driver interface tasks have on driver workload.

公开(公告)号：US20130190975A1

公开(公告)日：2013-07-25

申请号：US13795085

申请日：2013-03-12

Applicant: FORD GLOBAL TECHNOLOGIES, LLC

Inventor： Dimitar Petrov Filev ,  Kwaku O. Prakah-Asante ,  Finn Tseng ,  Jianbo Lu

IPC: G06F17/00

CPC classification number: G06F17/00 ,  B60W50/087 ,  B60W2520/10 ,  B60W2520/105 ,  B60W2520/125 ,  B60W2520/14 ,  B60W2540/18 ,  B60W2550/12 ,  G01C21/3641

Abstract: A vehicle's dynamic handling state, driver inputs to the vehicle, etc. may be examined to determine one or more measures of driver workload. Driver interface tasks may then be delayed and/or prevented from executing based on the driver workload so as to not increase the driver workload. Alternatively, driver interface tasks may be schedule for execution based on the driver workload and caused to execute according to the schedule, for example, to minimize the impact the executing driver interface tasks have on driver workload.

Abstract translation: 可以检查车辆的动态处理状态，车辆的驾驶员输入等，以确定驾驶员工作量的一个或多个措施。 然后可以基于驾驶员工作量来延迟和/或阻止驾驶员接口任务的执行，从而不增加驾驶员的工作量。 或者，驱动器接口任务可以是基于驱动程序工作负载执行的进度，并且根据调度执行，例如以最小化执行的驱动程序接口任务对驱动器工作负载的影响。

公开(公告)号：US11975736B2

公开(公告)日：2024-05-07

申请号：US17004342

申请日：2020-08-27

Applicant: Ford Global Technologies, LLC

Inventor： Qi Dai ,  Jinhong Wang ,  Wen Guo ,  Xunnong Xu ,  Suzhou Huang ,  Dimitar Petrov Filev

IPC: B60W60/00 ,  B60W10/18 ,  B60W10/20 ,  B60W30/085 ,  B60W30/18 ,  B60W50/06 ,  G01C21/34 ,  G01C21/36 ,  G08G1/00 ,  G08G1/01 ,  G08G1/052 ,  G08G1/056

CPC classification number: B60W60/001 ,  B60W10/18 ,  B60W10/20 ,  B60W30/085 ,  B60W30/18163 ,  B60W50/06 ,  G01C21/3407 ,  G01C21/3492 ,  G01C21/3691 ,  G08G1/0116 ,  G08G1/052 ,  G08G1/056 ,  G08G1/20 ,  B60W2554/40

Abstract: A computer, including a processor and a memory, the memory including instructions to be executed by the processor to calibrate utility functions that determine optimal vehicle actions based on an approximate Nash equilibrium solution for multiple agents by determining a difference between model-predicted future states for the multiple agents to observed states for the multiple agents. The instructions can include further instructions to determine a vehicle path for a vehicle based on the optimal vehicle actions.

公开(公告)号：US20230342512A1

公开(公告)日：2023-10-26

申请号：US17660127

申请日：2022-04-21

Applicant: Ford Global Technologies, LLC

Inventor： Kaushik Balakrishnan ,  Devesh Upadhyay ,  Herbert Alexander Morriss-Andrews ,  Ryan Joseph Madden ,  Suzhou Huang ,  Dimitar Petrov Filev

IPC: G06F30/15 ,  G06F30/27 ,  G06F30/28

CPC classification number: G06F30/15 ,  G06F30/27 ,  G06F30/28

Abstract: Systems and methods for automotive shape design by combining computational fluid dynamics (CFD) and Generative Adversarial Network (GAN). CFD simulations may be performed to determine aerodynamic properties and identify a set of candidate vehicle outline shapes. Vehicle shape outlines may be provided as input to a generative adversarial network (GAN) that is trained to learn aesthetic preferences for vehicle attributes. The GAN may be used to determine, by based on the vehicle outline shape, a set of vehicle attributes. The GAN may be used to generate photo-realistic images with the vehicle shape outline and filling in additional aesthetic styles for the given outline, such as different colors, lighting, visual appearance, wheel design, aspect ratio, etc.