Battery state estimator combining electrochemical solid-state concentration model with empirical equivalent-circuit model
    1.
    发明授权
    Battery state estimator combining electrochemical solid-state concentration model with empirical equivalent-circuit model 有权
    电池状态估计器将电化学固态浓度模型与经验等效电路模型相结合

    公开(公告)号:US09377512B2

    公开(公告)日:2016-06-28

    申请号:US13889964

    申请日:2013-05-08

    Abstract: A battery state estimator which combines an electrochemical solid-state concentration model with an empirical equivalent-circuit model. The battery state estimator uses a reduced-order physics-based electrochemical solid-state concentration model to calculate open circuit voltage of a battery cell, and uses the calculated open circuit voltage in an equivalent-circuit model to evaluate a diffusion voltage drop and other battery cell parameters. The battery state estimator is implemented in an online estimator framework using an extended Kalman filter, with a measured terminal voltage and measured current as inputs. A state of charge of the battery cell can be determined from the calculated open circuit voltage, and the state of charge along with the other parameters from the equivalent-circuit model are used to evaluate battery pack performance and to control battery pack charging and discharging.

    Abstract translation: 电池状态估计器,其将电化学固态浓度模型与经验等效电路模型相结合。 电池状态估计器使用基于物理的电化学固态浓度模型来计算电池单元的开路电压,并且使用等效电路模型中计算的开路电压来评估扩散电压降和其它电池 细胞参数。 电池状态估计器使用扩展卡尔曼滤波器在线估计框架中实现,测量的端电压和测量电流作为输入。 可以根据计算出的开路电压来确定电池单元的充电状态,并且使用与来自等效电路模型的其他参数一起的电荷状态来评估电池组性能并控制电池组充电和放电。

    STATE OF CHARGE ESTIMATOR AND METHODS OF MAKING AND USING THE SAME
    2.
    发明申请
    STATE OF CHARGE ESTIMATOR AND METHODS OF MAKING AND USING THE SAME 审中-公开
    电荷估算器的状态及其制造和使用方法

    公开(公告)号:US20150301116A1

    公开(公告)日:2015-10-22

    申请号:US14257572

    申请日:2014-04-21

    CPC classification number: G01R31/3662 G01R31/362 G01R31/3651

    Abstract: A number of variations include a method, which may include using at least a segment of voltage-based Battery State Estimation data, and using real-time linear regression, which may be a method of estimating future behavior of a system based on current and previous data points, to provide a robust and fast-adapting impedance response approximator. Linear regression may be performed by forming an RC circuit which is “equivalent” to electrochemical impedance spectroscopy data and processing the runtime values of that RC circuit using any number of known real-time linear regression algorithms including, but not limited, to a weighted recursive least squares (WRLS), Kalman filter or other means.

    Abstract translation: 许多变型包括一种方法,其可以包括使用基于电压的电池状态估计数据的至少一部分,并且使用实时线性回归,其可以是基于当前和前一个估计系统的未来行为的方法 数据点,以提供鲁棒且快速适应的阻抗响应近似器。 可以通过形成与电化学阻抗光谱数据“等效”的RC电路并使用任何数量的已知的实时线性回归算法处理该RC电路的运行时间值来执行线性回归,包括但不限于加权递归 最小二乘法(WRLS),卡尔曼滤波器或其他方法。

    METHOD TO DETECT OPEN-CIRCUIT VOLTAGE SHIFT THROUGH OPTIMIZATION FITTING OF THE ANODE ELECTRODE HALF-CELL VOLTAGE CURVE
    3.
    发明申请
    METHOD TO DETECT OPEN-CIRCUIT VOLTAGE SHIFT THROUGH OPTIMIZATION FITTING OF THE ANODE ELECTRODE HALF-CELL VOLTAGE CURVE 审中-公开
    通过阳极电极高电压电压曲线的优化配置来检测开路电压转换的方法

    公开(公告)号:US20140214347A1

    公开(公告)日:2014-07-31

    申请号:US13756327

    申请日:2013-01-31

    CPC classification number: G01R31/3842 G01R31/367 G01R31/392 G06F17/00

    Abstract: Methods are disclosed for modeling changes in capacity and the state of charge vs. open circuit voltage (SOC-OCV) curve for a battery cell as it ages. During battery pack charging, voltage and current data are gathered for a battery cell. In one method, using multiple data points taken during the plug-in charge event, data optimization is used to determine values for two parameters which define a scaling and a shifting of the SOC-OCV curve from its original shape at the cell's beginning of life to its shape in the cell's current condition. In a second method, only initial and final voltages and current throughput data are needed to determine the values of the two parameters. With the scaling and shifting parameters calculated, the cell's updated capacity and updated SOC-OCV curve can be determined. The methods can also be applied to data taken during a discharge event.

    Abstract translation: 公开了用于模拟电池电池老化时的容量变化和充电状态与开路电压(SOC-OCV)曲线的方法。 在电池组充电期间,针对电池单元收集电压和电流数据。 在一种方法中,使用在插件电荷事件期间采取的多个数据点,数据优化被用于确定两个参数的值,这两个参数定义了在细胞生命开始时SOC-OCV曲线从原始形状的缩放和移位 以其在细胞当前状况下的形状。 在第二种方法中,仅需要初始和最终电压和当前吞吐量数据来确定两个参数的值。 通过计算缩放和移位参数,可以确定单元的更新容量和更新的SOC-OCV曲线。 这些方法也可以应用于放电事件期间所采集的数据。

    Battery system capacity estimation systems and methods

    公开(公告)号:US09766297B2

    公开(公告)日:2017-09-19

    申请号:US14738633

    申请日:2015-06-12

    CPC classification number: G01R31/3655 G01R31/3606 G01R31/3651

    Abstract: System and methods for estimating a capacity of a battery system and/or a constituent cell and/or pack included in a vehicle are presented. In certain embodiments, a method for estimating a capacity of a battery system may include determining voltage-based state of charge (“SOC”) data of a pack of the battery system based on measured pack voltage information and a relationship between an open circuit voltage (“OCV”) and the SOC of the pack of at a beginning of life of the pack. Beginning of life SOC data of the pack may be determined based on coulomb counting measurements, and a ratio may be determined based on the beginning of life SOC data of the pack and the voltage-based SOC data of the pack. An estimated present capacity of the pack may be determined based on the beginning of life capacity of the pack and the ratio.

    METHODS AND SYSTEMS FOR DETERMINING WHETHER A VOLTAGE MEASUREMENT IS USABLE FOR A STATE OF CHARGE ESTIMATION
    9.
    发明申请
    METHODS AND SYSTEMS FOR DETERMINING WHETHER A VOLTAGE MEASUREMENT IS USABLE FOR A STATE OF CHARGE ESTIMATION 有权
    用于确定电压测量可用于充电状态状态的方法和系统

    公开(公告)号:US20140172332A1

    公开(公告)日:2014-06-19

    申请号:US13717958

    申请日:2012-12-18

    CPC classification number: G01R31/362 G01R31/3648

    Abstract: Systems and methods for improvements in battery state of charge accuracy, charge termination consistency, capacity estimation, and energy delivery consistency. More specifically, embodiments herein detail systems and methods using an algorithm to calculate the change in state of charge for a given voltage change (dSOC/dV) at a given temperature in a region around the present voltage measurement or estimation and to set a signal indicating when the measurement should not be used due to potential error.

    Abstract translation: 电池充电精度,充电终端一致性,容量估计和能量传输一致性的改进的系统和方法。 更具体地,本文的实施例详细描述了使用算法计算在当前电压测量或估计周围的区域中给定温度下的给定电压变化(dSOC / dV)的电荷状态变化的系统和方法,并且设置指示 当由于潜在的错误而不应使用测量时。

    Systems and methods for estimating battery system power capability

    公开(公告)号:US10048320B2

    公开(公告)日:2018-08-14

    申请号:US14738661

    申请日:2015-06-12

    Abstract: System and methods for estimating a future power capability of a battery system included in a vehicle are presented. In some embodiments, a method for estimating a future power capability of a battery system may include determining an initial battery voltage when the battery operates at a current limit and estimating a future battery current at a first time when the battery operates at the associated voltage limit based on the initial battery current. A future battery voltage at the first time when the battery operates at the associated current limit may be determined based on the initial battery voltage. An estimated voltage-limited power capability of the battery at the first time may be determined based on the future battery current and an estimated current-limited power capability of the battery at the first time may be determined based on the future battery voltage.

Patent Agency Ranking