PROACTIVE HEALTH-BASED TRANSITION TO REDUNDANT SUBSYSTEMS

    公开(公告)号:US20190106115A1

    公开(公告)日:2019-04-11

    申请号:US15725930

    申请日:2017-10-05

    Abstract: A method proactively transitions performance of a functional operation from a primary subsystem to a secondary subsystem within a vehicle or other system having an electronic control unit (ECU). The method includes receiving health management information via the ECU when the primary subsystem is actively performing the functional operation within the system and the secondary subsystem operates in a standby mode, wherein the health information is indicative of a numeric state of health (SOH) of the primary subsystem. The method also includes comparing the numeric SOH to a calibrated non-zero threshold SOH, and then commanding, via the ECU, a transition of the performance of the functional operation to the secondary subsystem and placing the primary subsystem in the standby mode when the numeric SOH is less than the calibrated non-zero threshold SOH. A vehicle executes the method via the ECU.

    Method and apparatus for fault detection in a controller area network
    15.
    发明授权
    Method and apparatus for fault detection in a controller area network 有权
    控制器局域网故障检测方法及装置

    公开(公告)号:US09524222B2

    公开(公告)日:2016-12-20

    申请号:US14194805

    申请日:2014-03-02

    Abstract: A controller area network (CAN) has a plurality of CAN elements including a communication bus and a plurality of controllers. A method for monitoring the CAN includes detecting occurrences of a first short-lived fault and a second short-lived fault within a predefined time window. A first fault set including at least one inactive controller associated with the first short-lived fault and a second fault set including at least one inactive controller associated with the second short-lived fault are identified. An intermittent fault is located in the CAN based upon the first and second fault sets.

    Abstract translation: 控制器局域网(CAN)具有包括通信总线和多个控制器的多个CAN元件。 用于监视CAN的方法包括在预定时间窗口内检测第一短路故障和第二短路故障的发生。 识别包括与第一短寿命故障相关联的至少一个非活动控制器的第一故障集合和包括与第二短路故障相关联的至少一个非活动控制器的第二故障集合。 基于第一和第二故障集,位于CAN中的间歇故障。

    BATTERY SOC ESTIMATION WITH AUTOMATIC CORRECTION
    16.
    发明申请
    BATTERY SOC ESTIMATION WITH AUTOMATIC CORRECTION 有权
    电池SOC估计与自动校正

    公开(公告)号:US20150112527A1

    公开(公告)日:2015-04-23

    申请号:US14059751

    申请日:2013-10-22

    Abstract: An embodiment contemplates a method of determining a state-of-charge of a battery for a vehicle. (a) An OCV is measured for a current vehicle ignition startup after ignition off for at least eight hours. (b) An SOCOCV is determined for the current vehicle ignition startup. (c) An SOCOCV—est is is determined for a current vehicle ignition startup. (d) A determination is made whether the difference in the SOCOCV for the current startup and the SOCOCVest for the current startup is less than a predefined error bound using. Steps (a)-(d) is performed in response to the difference being greater than the predefined error; otherwise, determining an ignition-off current for the current vehicle ignition startup as a function of the SOCOCV of the current vehicle ignition startup and previous vehicle ignition startup, and a SOC based on current integration over time. Determining an SOCest of the current vehicle ignition startup using the processor.

    Abstract translation: 实施例考虑了确定车辆电池的充电状态的方法。 (a)在点火关闭至少8小时后,测量当前车辆点火启动的OCV。 (b)确定当前车辆点火启动时的SOCOCV。 (c)对于当前的汽车点火启动来确定SOCOCV-est。 (d)确定当前启动的SOCOCV和当前启动的SOCOCVest之间的差是否小于使用的预定义误差限制。 响应于该差大于预定义的误差来执行步骤(a) - (d) 否则,根据当前车辆点火启动和先前车辆点火启动的SOCOCV以及基于当前集成度的SOC,确定当前车辆点火启动的点火开关电流。 使用处理器确定当前车辆点火启动的SOCest。

    SELF ADAPTIVE ENHANCEMENT FOR AUTOMATED DRIVING WITH MAP AND CAMERA ISSUES

    公开(公告)号:US20240401970A1

    公开(公告)日:2024-12-05

    申请号:US18327572

    申请日:2023-06-01

    Abstract: A vehicle includes a system and method of operating the vehicle. The system includes a camera, a map database and a processor. The camera obtains camera data of a location of a road being traversed by the vehicle. The map database provides map data of the location of the road. The processor determines a first curvature of the road at the location from the camera data, determines a second curvature of the road at the location from the map data, identifies a mismatch between the first curvature and the second curvature at the location of the road, generates a case report for one of the map data and the camera data at the location upon occurrence of the mismatch, and adjusts one of the map data and a confidence level in the camera data for the location based on the case report.

Patent Agency Ranking