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1. 发明申请

US20160054390A1 TECHNIQUES FOR ROBUST BATTERY STATE ESTIMATION 审中-公开
标题翻译：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
申请人： Jian Lin , Hong Yang , Pawel Malysz , Jin Ye , Ran Gu , Ali Emadi
发明人： Jian Lin , Hong Yang , Pawel Malysz , Jin Ye , Ran Gu , Ali Emadi
IPC分类号： G01R31/36
CPC分类号： G01R31/367 , B60L58/10 , G01R31/3842 , G01R31/392 , Y02T10/7005 , Y02T10/705
摘要： 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.
摘要翻译：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。

2. 发明授权

US10408880B2 Techniques for robust battery state estimation 有权
公开(公告)号：US10408880B2
公开(公告)日：2019-09-10
申请号：US14463016
申请日：2014-08-19
申请人： Jian Lin , Hong Yang , Pawel Malysz , Jin Ye , Ran Gu , Ali Emadi
发明人： Jian Lin , Hong Yang , Pawel Malysz , Jin Ye , Ran Gu , Ali Emadi
IPC分类号： G01R31/36 , G01R31/367 , B60L58/10 , G01R31/392 , G01R31/3842
摘要： 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.

3. 发明授权

US09321368B2 Multi-step model predictive iterative techniques for battery system peak power estimation 有权
标题翻译：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
申请人： Hong Yang , Pawel Malysz , Jin Ye , Ran Gu , Ali Emadi
发明人： Hong Yang , Pawel Malysz , Jin Ye , Ran Gu , Ali Emadi
IPC分类号： B60L11/18 , G01R31/36 , G05B13/04 , B60L15/20
CPC分类号： B60L11/1861 , B60L15/2045 , G01R31/3624 , G01R31/3651 , G01R31/3662 , G01R31/3675 , G01R31/3693 , G05B13/048 , Y02T10/7258 , Y10S903/93
摘要： 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.
摘要翻译：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。

4. 发明申请

US20160052418A1 MULTI-STEP MODEL PREDICTIVE ITERATIVE TECHNIQUES FOR BATTERY SYSTEM PEAK POWER ESTIMATION 有权
标题翻译：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
申请人： Hong Yang , Pawel Malysz , Jin Ye , Ran Gu , Ali Emadi
发明人： Hong Yang , Pawel Malysz , Jin Ye , Ran Gu , Ali Emadi
IPC分类号： B60L11/18 , G05B13/04 , B60L15/20 , G01R31/36
CPC分类号： B60L11/1861 , B60L15/2045 , G01R31/3624 , G01R31/3651 , G01R31/3662 , G01R31/3675 , G01R31/3693 , G05B13/048 , Y02T10/7258 , Y10S903/93
摘要： 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.
摘要翻译：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。

5. 发明授权

US10099679B2 Battery state and parameter estimation using a mixed sigma-point kalman filtering and recursive least squares technique 有权
公开(公告)号：US10099679B2
公开(公告)日：2018-10-16
申请号：US15298314
申请日：2016-10-20
申请人： Deqiang Wang , Pawel Malysz , Hong Yang , Ali Emadi
发明人： Deqiang Wang , Pawel Malysz , Hong Yang , Ali Emadi
IPC分类号： B60W20/13 , H01M10/48 , B60W10/06 , B60W10/08 , B60L11/00
摘要： A battery management system for an electrified powertrain of a hybrid vehicle includes one or more sensors configured to measure voltage, current, and temperature for a battery system of the hybrid vehicle and a controller. The controller is configured to obtain an equivalent circuit model for the battery system, determine a set of states for the battery system to be estimated, determine a set of parameters for the battery system to be estimated, receive, from the sensor(s), the measured voltage, current, and temperature for the battery system, using the equivalent circuit model and the measured voltage, current, and temperature of the battery system, estimate the sets of states and parameters for the battery system using a mixed sigma-point Kalman filtering (SPKF) and recursive least squares (RLS) technique, and using the sets of estimated states/parameters for the battery system, control an electric motor of the electrified vehicle.

6. 发明申请

US20180111599A1 BATTERY STATE AND PARAMETER ESTIMATION USING A MIXED SIGMA-POINT KALMAN FILTERING AND RECURSIVE LEAST SQUARES TECHNIQUE 审中-公开
公开(公告)号：US20180111599A1
公开(公告)日：2018-04-26
申请号：US15298314
申请日：2016-10-20
申请人： Deqiang Wang , Pawel Malysz , Hong Yang , Ali Emadi
发明人： Deqiang Wang , Pawel Malysz , Hong Yang , Ali Emadi
IPC分类号： B60W20/13 , H01M10/48 , B60W10/06 , B60W10/08
CPC分类号： B60W20/13 , B60W10/06 , B60W10/08 , B60W2510/244 , H01M10/48 , H01M10/486 , H01M2220/20 , Y10S903/93
摘要： A battery management system for an electrified powertrain of a hybrid vehicle includes one or more sensors configured to measure voltage, current, and temperature for a battery system of the hybrid vehicle and a controller. The controller is configured to obtain an equivalent circuit model for the battery system, determine a set of states for the battery system to be estimated, determine a set of parameters for the battery system to be estimated, receive, from the sensor(s), the measured voltage, current, and temperature for the battery system, using the equivalent circuit model and the measured voltage, current, and temperature of the battery system, estimate the sets of states and parameters for the battery system using a mixed sigma-point Kalman filtering (SPKF) and recursive least squares (RLS) technique, and using the sets of estimated states/parameters for the battery system, control an electric motor of the electrified vehicle.

7. 发明授权

US09489701B2 Adaptive energy management system 有权
标题翻译：自适应能源管理系统
公开(公告)号：US09489701B2
公开(公告)日：2016-11-08
申请号：US13800771
申请日：2013-03-13
申请人： Ali Emadi , Shahin Sirouspour , Pawel Malysz
发明人： Ali Emadi , Shahin Sirouspour , Pawel Malysz
IPC分类号： G05D17/00 , G06Q50/06
CPC分类号： G06Q50/06 , Y02E40/76 , Y04S10/54 , Y04S10/545
摘要： Systems, methods, and devices related to a microgrid system for providing power to a facility. A self-contained power system provides power to a facility using a combination of power storage elements and renewable energy sources. A connection to an external power grid may also be provided. The system optimizes power flow to the facility using power from the storage elements and the renewable energy sources and, if necessary, the external power grid. The optimization process predicts future power usage by the facility using power usage data from a predetermined time window. The optimization process can also take into account predicted energy generation amounts by the renewable energy sources. To optimize economic effects, the optimization process can also determine whether to buy and when to buy power from the external power grid.
摘要翻译：与微电网系统相关的系统，方法和设备，用于向设施提供电力。独立的电力系统使用蓄电元件和可再生能源的组合为设施提供电力。还可以提供与外部电网的连接。该系统使用来自存储元件和可再生能源的电力以及必要时的外部电网优化到设施的功率流。优化过程预测设施使用来自预定时间窗口的功率使用数据的未来功率使用。优化过程还可以考虑到可再生能源的预测能量产生量。为了优化经济效应，优化过程也可以决定是否购买和何时从外部电网购买电力。

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