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    • 4. 发明授权
    • Driver workload-based vehicle stability enhancement system
    • 基于驾驶员工作的车辆稳定性增强系统
    • US07996130B2
    • 2011-08-09
    • US12762739
    • 2010-04-19
    • Yilu ZhangWilliam C. LinJing ZhangYuen-Kwok Chin
    • Yilu ZhangWilliam C. LinJing ZhangYuen-Kwok Chin
    • B62D6/00
    • B60T8/17551B60T8/17552B60T2220/02B60T2230/02
    • 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.
    • 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。
    • 6. 发明授权
    • Driver workload-based vehicle stability enhancement control
    • 基于驾驶员工作量的车辆稳定性增强控制
    • US07751960B2
    • 2010-07-06
    • US11403359
    • 2006-04-13
    • Yilu ZhangWilliam C. LinJing ZhangYuen-Kwok Chin
    • Yilu ZhangWilliam C. LinJing ZhangYuen-Kwok Chin
    • B62D6/00
    • B60T8/17551B60T8/17552B60T2220/02B60T2230/02
    • 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.
    • 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。
    • 10. 发明申请
    • OPTIMIZING SYSTEM PERFORMANCE USING STATE OF HEALTH INFORMATION
    • 使用健康信息状态的优化系统性能
    • US20130158755A1
    • 2013-06-20
    • US13325132
    • 2011-12-14
    • Xidong TangMutasim A. SalmanYilu Zhang
    • Xidong TangMutasim A. SalmanYilu Zhang
    • B60L15/20G05B13/04
    • G05B23/0294B60W20/50H01M10/48Y02T10/7258
    • A method for optimizing performance of a system includes determining, via a controller, a state of health (SOH) for each of a plurality of components of the system, and determining a state of function (SOF) of the system using the SOH of each component. The method includes estimating the remaining useful life (RUL) of the system using the system SOF, selecting a cost-optimal control strategy for the system using a costing model, and dynamically, i.e., in real time, executing the selected strategy to extend the estimated RUL. The method may include comparing the selected cost-optimal strategy to a calibrated performance threshold, and executing the selected strategy only when the selected strategy exceeds the threshold. A system includes first and second components and a controller. The controller dynamically executes the above method with respect to the components, which may be a traction motor and battery in one possible embodiment.
    • 一种用于优化系统性能的方法包括:经由控制器确定系统的多个组件中的每一个的健康状态(SOH),以及使用每个系统的SOH来确定系统的功能状态(SOF) 零件。 该方法包括使用系统SOF估计系统的剩余使用寿命(RUL),使用成本核算模型选择用于系统的成本最优控制策略,并且动态地(即实时地)执行所选择的策略以扩展 估计RUL 该方法可以包括将所选择的成本最优策略与校准的性能阈值进行比较,并且仅在所选择的策略超过阈值时执行所选择的策略。 系统包括第一和第二组件和控制器。 在一个可能的实施例中,控制器相对于组件动态执行上述方法,其可以是牵引电动机和电池。