Multi-step model predictive iterative techniques for battery system peak power estimation
    1.
    发明授权
    Multi-step model predictive iterative techniques for battery system peak power estimation 有权
    电池系统峰值功率估计的多步骤模型预测迭代技术

    公开(公告)号:US09321368B2

    公开(公告)日:2016-04-26

    申请号:US14463027

    申请日:2014-08-19

    Abstract: An electrified vehicle and method for estimating peak power of a battery system of the electrified vehicle are presented. In one exemplary implementation, the method includes receiving, at a controller of the electrified vehicle, measured current, voltage, and temperature of the battery system and determining, at the controller, operating parameters for the battery system based on the measured current, voltage, and temperature. An initial peak current at a start of a current prediction period for the battery system is determined, at the controller, based on the operating parameters, and an instantaneous peak current of the battery system is determined based on its initial peak current by performing voltage-limited extrapolation of resistances and open-circuit voltage (VLERO) of a battery model for the battery system. The battery system and an electric motor of the electrified vehicle are controlled, by the controller, based on the instantaneous peak current.

    Abstract translation: 提出了一种用于估计电气化车辆的电池系统的峰值功率的电气化车辆和方法。 在一个示例性实施方式中,该方法包括在电气化车辆的控制器处接收电池系统的测量电流,电压和温度,并且在控制器处基于测量的电流,电压确定电池系统的操作参数, 和温度。 在控制器基于操作参数确定电池系统的当前预测周期开始时的初始峰值电流,并且基于其初始峰值电流来确定电池系统的瞬时峰值电流, 用于电池系统的电池模型的电阻和开路电压(VLERO)的有限外推。 电动车辆的电池系统和电动机由控制器基于瞬时峰值电流进行控制。

    MULTI-STEP MODEL PREDICTIVE ITERATIVE TECHNIQUES FOR BATTERY SYSTEM PEAK POWER ESTIMATION
    2.
    发明申请
    MULTI-STEP MODEL PREDICTIVE ITERATIVE TECHNIQUES FOR BATTERY SYSTEM PEAK POWER ESTIMATION 有权
    电池系统峰值功率估计的多步模型预测迭代技术

    公开(公告)号:US20160052418A1

    公开(公告)日:2016-02-25

    申请号:US14463027

    申请日:2014-08-19

    Abstract: An electrified vehicle and method for estimating peak power of a battery system of the electrified vehicle are presented. In one exemplary implementation, the method includes receiving, at a controller of the electrified vehicle, measured current, voltage, and temperature of the battery system and determining, at the controller, operating parameters for the battery system based on the measured current, voltage, and temperature. An initial peak current at a start of a current prediction period for the battery system is determined, at the controller, based on the operating parameters, and an instantaneous peak current of the battery system is determined based on its initial peak current by performing voltage-limited extrapolation of resistances and open-circuit voltage (VLERO) of a battery model for the battery system. The battery system and an electric motor of the electrified vehicle are controlled, by the controller, based on the instantaneous peak current.

    Abstract translation: 提出了一种用于估计电气化车辆的电池系统的峰值功率的电气化车辆和方法。 在一个示例性实施方式中,该方法包括在电气化车辆的控制器处接收电池系统的测量电流,电压和温度,并且在控制器处基于测量的电流,电压确定电池系统的操作参数, 和温度。 在控制器基于操作参数确定电池系统的当前预测周期开始时的初始峰值电流,并且基于其初始峰值电流来确定电池系统的瞬时峰值电流, 用于电池系统的电池模型的电阻和开路电压(VLERO)的有限外推。 电动车辆的电池系统和电动机由控制器基于瞬时峰值电流进行控制。

    TECHNIQUES FOR ROBUST BATTERY STATE ESTIMATION
    3.
    发明申请
    TECHNIQUES FOR ROBUST BATTERY STATE ESTIMATION 审中-公开
    用于稳健电池状态估计的技术

    公开(公告)号:US20160054390A1

    公开(公告)日:2016-02-25

    申请号:US14463016

    申请日:2014-08-19

    Abstract: More accurate and robust battery state estimation (BSE) techniques for a battery system of an electrified vehicle include estimating a current bias or offset generated by a current sensor and then adjusting the measured current to compensate for the estimated current bias. The techniques obtain nominal parameters for a battery model of the battery system based on a measured temperature and an estimated open circuit voltage (OCV). The techniques use these nominal parameters and the corrected measured current to estimate the OCV, a capacity, and an impedance of the battery system. The techniques utilize the OCV to estimate a state of charge (SOC) of the battery system. The techniques also estimate a state of health (SOH) of the battery system based on its estimated capacity and impedance. The techniques then control the electrified vehicle based on the SOC and/or the SOH.

    Abstract translation: 用于电气化车辆的电池系统的更精确和鲁棒的电池状态估计(BSE)技术包括估计由电流传感器产生的电流偏差或偏移,然后调整测量的电流以补偿估计的电流偏差。 该技术基于测量的温度和估计的开路电压(OCV)获得电池系统的电池模型的标称参数。 这些技术使用这些标称参数和校正的测量电流来估计电池系统的OCV,容量和阻抗。 该技术利用OCV来估计电池系统的充电状态(SOC)。 这些技术还基于其估计的容量和阻抗来估计电池系统的健康状况(SOH)。 然后,这些技术基于SOC和/或SOH控制电气化车辆。

    Techniques for robust battery state estimation

    公开(公告)号:US10408880B2

    公开(公告)日:2019-09-10

    申请号:US14463016

    申请日:2014-08-19

    Abstract: More accurate and robust battery state estimation (BSE) techniques for a battery system of an electrified vehicle include estimating a current bias or offset generated by a current sensor and then adjusting the measured current to compensate for the estimated current bias. The techniques obtain nominal parameters for a battery model of the battery system based on a measured temperature and an estimated open circuit voltage (OCV). The techniques use these nominal parameters and the corrected measured current to estimate the OCV, a capacity, and an impedance of the battery system. The techniques utilize the OCV to estimate a state of charge (SOC) of the battery system. The techniques also estimate a state of health (SOH) of the battery system based on its estimated capacity and impedance. The techniques then control the electrified vehicle based on the SOC and/or the SOH.

    VIEWING-FOCUS ORIENTED IMAGE PROCESSING
    5.
    发明申请
    VIEWING-FOCUS ORIENTED IMAGE PROCESSING 审中-公开
    以图像为中心的图像处理

    公开(公告)号:US20130009980A1

    公开(公告)日:2013-01-10

    申请号:US13178127

    申请日:2011-07-07

    Applicant: Hao Ran Gu

    Inventor: Hao Ran Gu

    Abstract: A method and a processor for implementing the method are disclosed for processing of an image. A first algorithm is selected to be used for processing information representing an area of interest in the image. A second algorithm is selected to be used for processing information representing an area of the image that is not in the area of interest. The first and second algorithms are applied to their respective portions of the information representing the image.

    Abstract translation: 公开了一种用于实现该方法的方法和处理器,用于处理图像。 选择第一算法来用于处理表示图像中的感兴趣区域的信息。 选择第二种算法来处理表示不在感兴趣区域的图像区域的信息。 第一和第二算法被应用于表示图像的信息的各自部分。

    Portable electronic scoreboard for officiating a sporting game
    6.
    发明申请
    Portable electronic scoreboard for officiating a sporting game 审中-公开
    便携式电子记分牌,用于主持体育比赛

    公开(公告)号:US20120256373A1

    公开(公告)日:2012-10-11

    申请号:US13066067

    申请日:2011-04-07

    Abstract: A portable scoreboard system comprising of a microcontroller running a software algorithm that keeps score of a sports game and officiates the game to ensure fair play according to the rules of the sport. The official rules of all the sports are stored in the device memory. The updating of the score is carried out with wireless remote control modules worn by the players and/or users. The score is only updated when the algorithm has confirmed no game rule violations. The real time score information is then displayed on the scoreboard panel plus appropriate audio sounds are played. Game related scores and user settings are stored into memory on a real time basis and can be retrieved externally for post-game analysis.

    Abstract translation: 一种便携式记分板系统,包括运行软件算法的微控制器,该软件算法保持运动游戏的得分,并且根据运动的规则主持游戏以确保公平的游戏。 所有运动的官方规则都存储在设备内存中。 用玩家和/或用户佩戴的无线遥控模块进行得分的更新。 仅当算法已经确认没有游戏规则违规时,得分才更新。 然后将实时得分信息显示在记分牌面板上,同时播放适当的音频声音。 游戏相关分数和用户设置实时存储在内存中,可以从外部获取以进行游戏后分析。

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