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11. 发明申请

US20090210179A1 MODEL-BASED ESTIMATION OF BATTERY HYSTERESIS 有权
标题翻译：基于模型的电池滞后估计
公开(公告)号：US20090210179A1
公开(公告)日：2009-08-20
申请号：US12033197
申请日：2008-02-19
申请人： Xidong Tang , Xiaodong Zhang , Yuen-Kwok Chin , Brian J. Koch , Damon R. Frisch
发明人： Xidong Tang , Xiaodong Zhang , Yuen-Kwok Chin , Brian J. Koch , Damon R. Frisch
IPC分类号： H01M10/48 , G06F19/00
CPC分类号： H01M10/48
摘要： A method of battery state of charge estimation considering battery hysteresis includes using a Preisach-model-based algorithm to calculate a battery state of charge.
摘要翻译：考虑电池滞后的电池充电状态估计方法包括使用基于Preisach模型的算法来计算电池充电状态。

12. 发明授权

US07957921B2 Model-based estimation of battery hysteresis 有权
标题翻译：基于模型的电池滞后估计
公开(公告)号：US07957921B2
公开(公告)日：2011-06-07
申请号：US12033197
申请日：2008-02-19
申请人： Xidong Tang , Xiaodong Zhang , Yuen-Kwok Chin , Brian J. Koch , Damon R. Frisch
发明人： Xidong Tang , Xiaodong Zhang , Yuen-Kwok Chin , Brian J. Koch , Damon R. Frisch
IPC分类号： G06F19/00
CPC分类号： H01M10/48
摘要： A method of battery state of charge estimation considering battery hysteresis includes using a Preisach-model-based algorithm to calculate a battery state of charge.
摘要翻译：考虑电池滞后的电池充电状态估计方法包括使用基于Preisach模型的算法来计算电池充电状态。

13. 发明申请

US20090326841A1 Pattern recognition approach to battery diagnosis and prognosis 有权
标题翻译：模式识别方法对电池诊断和预后
公开(公告)号：US20090326841A1
公开(公告)日：2009-12-31
申请号：US12147556
申请日：2008-06-27
申请人： Xiaodong Zhang , Yilu Zhang , Yuen-Kwok Chin
发明人： Xiaodong Zhang , Yilu Zhang , Yuen-Kwok Chin
IPC分类号： G01R31/36 , G06N3/02 , G06F15/18
CPC分类号： G01R31/3679 , G01R31/3651
摘要： A method is provided for determining a state-of-health of a battery in a vehicle-during an engine cranking phase. An engine cranking phase is initiated. Characteristic data is recorded that includes battery voltage data and engine cranking speed data during the engine cranking phase. The characteristic data is provided to a pre-processing unit. The pre-processing unit normalizes the characteristic data for processing within a classifier. The normalized data is input o the classifier for determining the vehicle battery state-of-health. The classifier has a trained state-of-health decision boundary resulting from a plurality of trials in which predetermined characterization data is collected with known classes. The battery state-of-health is classified based on the trained state-of-health decision boundary.
摘要翻译：在发动机起动阶段期间提供一种用于确定车辆中的电池的健康状态的方法。启动发动机起动阶段。记录在发动机起动阶段包括电池电压数据和发动机起动速度数据的特征数据。将特征数据提供给预处理单元。预处理单元对分类器内的特征数据进行归一化处理。在分类器中输入归一化数据以确定车辆电池的健康状况。分类器具有训练有素的健康状态决策边界，其由多个试验产生，其中以已知类别收集预定表征数据。电池健康状况根据受过训练的健康状况决定界限进行分类。

14. 发明授权

US08972213B2 Pattern recognition approach to battery diagnosis and prognosis 有权
公开(公告)号：US08972213B2
公开(公告)日：2015-03-03
申请号：US12147556
申请日：2008-06-27
申请人： Xiaodong Zhang , Yilu Zhang , Yuen-Kwok Chin
发明人： Xiaodong Zhang , Yilu Zhang , Yuen-Kwok Chin
IPC分类号： G01R19/155 , G01R19/15 , G01R19/30 , G01R19/32 , G01R31/36
CPC分类号： G01R31/3679 , G01R31/3651
摘要： A method is provided for determining a state-of-health of a battery in a vehicle-during an engine cranking phase. An engine cranking phase is initiated. Characteristic data is recorded that includes battery voltage data and engine cranking speed data during the engine cranking phase. The characteristic data is provided to a pre-processing unit. The pre-processing unit normalizes the characteristic data for processing within a classifier. The normalized data is input o the classifier for determining the vehicle battery state-of-health. The classifier has a trained state-of-health decision boundary resulting from a plurality of trials in which predetermined characterization data is collected with known classes. The battery state-of-health is classified based on the trained state-of-health decision boundary.

15. 发明授权

US07996130B2 Driver workload-based vehicle stability enhancement system 有权
标题翻译：基于驾驶员工作的车辆稳定性增强系统
公开(公告)号：US07996130B2
公开(公告)日：2011-08-09
申请号：US12762739
申请日：2010-04-19
申请人： Yilu Zhang , William C. Lin , Jing Zhang , Yuen-Kwok Chin
发明人： Yilu Zhang , William C. Lin , Jing Zhang , Yuen-Kwok Chin
IPC分类号： B62D6/00
CPC分类号： B60T8/17551 , B60T8/17552 , B60T2220/02 , B60T2230/02
摘要： A vehicle stability enhancement system that is adapted for an estimated driver workload. The system includes a driver workload estimation processor that estimates the driver workload based on certain factors, such as the vehicle speed or driver-behavior factors. The driver workload estimation is used to adjust the damping ratio and natural frequency in dynamic filters in a command interpreter to adjust a desired yaw rate signal and a desired side-slip signal. The driver workload estimation is also used to generate a yaw rate multiplication factor and a side-slip multiplication factor that modify a yaw rate stability signal and a side-slip stability signal in a feedback control processor that generates a stability control signal.
摘要翻译：适用于估计驾驶员工作量的车辆稳定性增强系统。该系统包括驾驶员工作量估计处理器，其基于某些因素（例如车辆速度或驾驶员行为因素）来估计驾驶员工作负荷。驱动器工作量估计用于调整命令解释器中的动态滤波器中的阻尼比和固有频率，以调整期望的横摆率信号和期望的侧滑信号。驾驶员工作量估计还用于产生在产生稳定性控制信号的反馈控制处理器中修改横摆率稳定性信号和侧滑稳定性信号的横摆率倍增因子和侧滑倍增因子。

16. 发明申请

US20100198452A1 DRIVER WORKLOAD-BASED VEHICLE STABILITY ENHANCEMENT SYSTEM 有权
标题翻译：基于工作负载的车辆稳定性增强系统
公开(公告)号：US20100198452A1
公开(公告)日：2010-08-05
申请号：US12762739
申请日：2010-04-19
申请人： Yilu Zhang , William C. Lin , Jing Zhang , Yuen-Kwok Chin
发明人： Yilu Zhang , William C. Lin , Jing Zhang , Yuen-Kwok Chin
IPC分类号： G06F7/00
CPC分类号： B60T8/17551 , B60T8/17552 , B60T2220/02 , B60T2230/02
摘要： A vehicle stability enhancement system that is adapted for an estimated driver workload. The system includes a driver workload estimation processor that estimates the driver workload based on certain factors, such as the vehicle speed or driver-behavior factors. The driver workload estimation is used to adjust the damping ratio and natural frequency in dynamic filters in a command interpreter to adjust a desired yaw rate signal and a desired side-slip signal. The driver workload estimation is also used to generate a yaw rate multiplication factor and a side-slip multiplication factor that modify a yaw rate stability signal and a side-slip stability signal in a feedback control processor that generates a stability control signal.
摘要翻译：适用于估计驾驶员工作量的车辆稳定性增强系统。该系统包括驾驶员工作量估计处理器，其基于某些因素（例如车辆速度或驾驶员行为因素）来估计驾驶员工作负荷。驱动器工作量估计用于调整命令解释器中的动态滤波器中的阻尼比和固有频率，以调整期望的横摆率信号和期望的侧滑信号。驾驶员工作量估计还用于产生在产生稳定性控制信号的反馈控制处理器中修改横摆率稳定性信号和侧滑稳定性信号的横摆率倍增因子和侧滑倍增因子。

17. 发明授权

US07751960B2 Driver workload-based vehicle stability enhancement control 有权
标题翻译：基于驾驶员工作量的车辆稳定性增强控制
公开(公告)号：US07751960B2
公开(公告)日：2010-07-06
申请号：US11403359
申请日：2006-04-13
申请人： Yilu Zhang , William C. Lin , Jing Zhang , Yuen-Kwok Chin
发明人： Yilu Zhang , William C. Lin , Jing Zhang , Yuen-Kwok Chin
IPC分类号： B62D6/00
CPC分类号： B60T8/17551 , B60T8/17552 , B60T2220/02 , B60T2230/02
摘要： A vehicle stability enhancement system that is adapted for an estimated driver workload. The system includes a driver workload estimation processor that estimates the driver workload based on certain factors, such as the vehicle speed or driver-behavior factors. The driver workload estimation is used to adjust the damping ratio and natural frequency in dynamic filters in a command interpreter to adjust a desired yaw rate signal and a desired side-slip signal. The driver workload estimation is also used to generate a yaw rate multiplication factor and a side-slip multiplication factor that modify a yaw rate stability signal and a side-slip stability signal in a feedback control processor that generates a stability control signal.
摘要翻译：适用于估计驾驶员工作量的车辆稳定性增强系统。该系统包括驾驶员工作量估计处理器，其基于某些因素（例如车辆速度或驾驶员行为因素）来估计驾驶员工作负荷。驱动器工作量估计用于调整命令解释器中的动态滤波器中的阻尼比和固有频率，以调整期望的横摆率信号和期望的侧滑信号。驾驶员工作量估计还用于产生在产生稳定性控制信号的反馈控制处理器中修改横摆率稳定性信号和侧滑稳定性信号的横摆率倍增因子和侧滑倍增因子。

18. 发明申请

US20070244606A1 Driver workload-based vehicle stability enhancement control 有权
标题翻译：基于驾驶员工作量的车辆稳定性增强控制
公开(公告)号：US20070244606A1
公开(公告)日：2007-10-18
申请号：US11403359
申请日：2006-04-13
申请人： Yilu Zhang , William Lin , Jing Zhang , Yuen-Kwok Chin
发明人： Yilu Zhang , William Lin , Jing Zhang , Yuen-Kwok Chin
IPC分类号： G06F19/00
CPC分类号： B60T8/17551 , B60T8/17552 , B60T2220/02 , B60T2230/02
摘要： A vehicle stability enhancement system that is adapted for an estimated driver workload. The system includes a driver workload estimation processor that estimates the driver workload based on certain factors, such as the vehicle speed or driver-behavior factors. The driver workload estimation is used to adjust the damping ratio and natural frequency in dynamic filters in a command interpreter to adjust a desired yaw rate signal and a desired side-slip signal. The driver workload estimation is also used to generate a yaw rate multiplication factor and a side-slip multiplication factor that modify a yaw rate stability signal and a side-slip stability signal in a feedback control processor that generates a stability control signal.
摘要翻译：适用于估计驾驶员工作量的车辆稳定性增强系统。该系统包括驾驶员工作量估计处理器，其基于某些因素（例如车辆速度或驾驶员行为因素）来估计驾驶员工作负荷。驱动器工作量估计用于调整命令解释器中的动态滤波器中的阻尼比和固有频率，以调整期望的横摆率信号和期望的侧滑信号。驾驶员工作量估计还用于产生在产生稳定性控制信号的反馈控制处理器中修改横摆率稳定性信号和侧滑稳定性信号的横摆率倍增因子和侧滑倍增因子。

19. 发明申请

US20070213886A1 Method and system for driver handling skill recognition through driver's steering behavior 审中-公开
标题翻译：驾驶员驾驶技巧识别方法和系统，通过驾驶员的转向行为
公开(公告)号：US20070213886A1
公开(公告)日：2007-09-13
申请号：US11372807
申请日：2006-03-10
申请人： Yilu Zhang , William Lin , Yuen-Kwok Chin
发明人： Yilu Zhang , William Lin , Yuen-Kwok Chin
IPC分类号： G05D1/00
CPC分类号： B62D6/007 , B60W30/12 , B60W40/09 , B60W2520/105 , B60W2520/125 , B60W2520/14 , B60W2540/12 , B60W2550/402
摘要： A driver handling skill recognition system and related algorithm that identifies a driver skill level. The system includes a steering wheel angle processor responsive to a steering wheel angle signal that provides normalized DFT coefficients. The system also includes at least one feed-forward artificial neural network (FF-ANN) responsive to the normalized DFT coefficients, where the FF-ANN provides an output signal indicative of the driver skill level. In one embodiment, the system includes a plurality of FF-ANNs one for each of a plurality of different vehicle maneuvers. The system includes a maneuver identifier that identifies a vehicle maneuver. The system selects the output from one of the FF-ANNs depending on the identified maneuver. In an alternate embodiment, the system can include a single FF-ANN designed for a plurality of vehicle maneuvers.
摘要翻译：处理技能识别系统和相关算法的司机识别驾驶员技能水平。该系统包括响应于提供标准化DFT系数的方向盘角度信号的方向盘角度处理器。该系统还包括响应于归一化DFT系数的至少一个前馈人造神经网络（FF-ANN），其中FF-ANN提供指示驾驶员技能水平的输出信号。在一个实施例中，系统包括多个不同车辆操纵中的每一个的多个FF-ANN。该系统包括识别车辆操纵的操纵标识符。系统根据识别的机动来选择其中一个FF-ANN的输出。在替代实施例中，系统可以包括为多个车辆操纵而设计的单个FF-ANN。

20. 发明申请

US20100179723A1 DRIVER BEHAVIOR BASED REMOTE VEHICLE MIS-USAGE WARNING AND SELF-MAINTENANCE 审中-公开
标题翻译：基于驾驶员行为的远程车辆故障使用警告和自我维护
公开(公告)号：US20100179723A1
公开(公告)日：2010-07-15
申请号：US12353084
申请日：2009-01-13
申请人： YILU ZHANG , Mark J. Rychlinski , Nathan D. Ampunan , Yuen-Kwok Chin , Krishnaraj Inbarajan , Paul W. Loewer , Mark E. Gilbert , Shirley B. Dost
发明人： YILU ZHANG , Mark J. Rychlinski , Nathan D. Ampunan , Yuen-Kwok Chin , Krishnaraj Inbarajan , Paul W. Loewer , Mark E. Gilbert , Shirley B. Dost
IPC分类号： G01M17/00
CPC分类号： G07C5/008 , G07C5/0816 , G07C5/085
摘要： Information associated with vehicle components and sub-systems is monitored by an on-board module, and associated data, either processed or raw, is telematically transmitted to a remote data center by wireless communications. The remote data center archives the received data in a database for each separate vehicle that is part of the system. The remote data center analyzes the data to ascertain whether the data indicates a usage pattern and/or vehicle condition that may have a detrimental effect on certain vehicle components, sub-systems and systems, such as excessive component wear. For example, the data center runs pattern detection algorithms on the data to identify known usage patterns that may potentially impact normal vehicle operation. If such a usage pattern is detected, the remote data center may issue a warning to the vehicle operator, or other designated person, that such usage may have a detrimental effect on the vehicle or vehicle components.
摘要翻译：与车载部件和子系统相关的信息由车载模块监控，相关数据（被处理或未加工）通过无线通信远程传输到远程数据中心。远程数据中心将接收到的数据存储在作为系统一部分的每个单独车辆的数据库中。远程数据中心分析数据以确定数据是否指示可能对某些车辆部件，子系统和系统有不利影响的使用模式和/或车辆状况，例如过度的部件磨损。例如，数据中心对数据运行模式检测算法，以识别可能影响正常车辆操作的已知使用模式。如果检测到这样的使用模式，则远程数据中心可以向车辆操作者或其他指定的人发出警告，认为这种使用可能对车辆或车辆部件有不利影响。

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