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    Solid state pump using electro-rheological fluid
    2.
    发明授权
    Solid state pump using electro-rheological fluid 有权

    公开(公告)号：US10309386B2

    公开(公告)日：2019-06-04

    申请号：US15296694

    申请日：2016-10-18

    Applicant: Massachusetts Institute of Technology ,  Utah State University

    Inventor： Youzhi Liang ,  Anette E. Hosoi ,  Matthew F. Demers ,  Karl D. Iagnemma ,  Jose R. Alvarado ,  Regan A. Zane ,  Michael Evzelman

    IPC: F04B43/04 ,  F04B19/00 ,  F04B17/00

    Abstract: The systems and methods described herein are directed towards a solid state pumping system that utilizes an electric field applied across a channel formed within the solid state pump to move electro-rheological (ER) fluid from an inlet fluidly coupled to a first end of the channel to an outlet fluidly coupled to a second end of the channel. The solid state pumping system may include first, second and third plate with the second plate disposed between the first and third plate. The second plate may include a channel having first and second circuits coupled to opposing sides of the channel. In an embodiment, in response to a voltage applied thereto, the first and second circuits can provide an electric field voltage across the channel such that in response to the electric field voltage the ER fluid moves from the first end to the second end of the channel.

    AUTONOMOUS BATTERY CONTROL AND OPTIMIZATION
    4.
    发明申请
    AUTONOMOUS BATTERY CONTROL AND OPTIMIZATION 审中-公开
    自动电池控制和优化

    公开(公告)号：US20160336767A1

    公开(公告)日：2016-11-17

    申请号：US15224123

    申请日：2016-07-29

    Applicant: Utah State University

    Inventor： Regan A. Zane ,  Michael Evzelman ,  Daniel Costinett ,  Dragan Maksimovic ,  Richard Dyche Anderson ,  Kandler Smith ,  Michael Scott Trimboli ,  Gregory L. Plett

    IPC: H02J7/00 ,  H02M3/335

    CPC classification number: H02J7/0016 ,  H02J1/102 ,  H02J7/0021 ,  H02J7/0052 ,  H02J7/0068 ,  H02J2007/0059 ,  H02M3/33507

    Abstract: An apparatus includes a battery state module that determines a battery state of each of a plurality of battery cells forming a battery unit. A battery state includes a health of the battery cell. A battery state of a battery cell differs from a battery state of other battery cells of the battery unit. Each battery cell is connected to a shared bus through a bypass converter that provides power from the battery cell to the shared bus. A charge/discharge modification module determines, based on battery state, an amount to vary a charging characteristic for each battery cell compared to a reference charging characteristic. Each charging characteristic varies as a function of a reference state. A charge/discharge module adjusts charging/discharging of a battery cell of the battery unit based on the charging characteristic of the battery cell.

    Abstract translation: 一种装置，包括：电池状态模块，其确定形成电池单元的多个电池单体的每一个的电池状态。 电池状态包括电池单体的健康。 电池单元的电池状态与电池单元的其他电池单体的电池状态不同。 每个电池单元通过旁路转换器连接到共享总线，该转换器将电池从电池提供给共享总线。 充电/放电修改模块基于电池状态确定与参考充电特性相比改变每个电池单元的充电特性的量。 每个充电特性根据参考状态而变化。 充电/放电模块基于电池单元的充电特性来调节电池单元的电池单元的充电/放电。

    MODEL PREDICTIVE CONTROL AND OPTIMIZATION FOR BATTERY CHARGING AND DISCHARGING
    7.
    发明申请
    MODEL PREDICTIVE CONTROL AND OPTIMIZATION FOR BATTERY CHARGING AND DISCHARGING 审中-公开
    模型预测控制和电池充电和放电优化

    公开(公告)号：US20160336765A1

    公开(公告)日：2016-11-17

    申请号：US15224275

    申请日：2016-07-29

    Applicant: Utah State University

    Inventor： Michael Scott Trimboli ,  Gregory L. Plett ,  Regan A. Zane ,  Kandler Smith ,  Dragan Maksimovic ,  Michael Evzelman ,  Daniel Costinett ,  Richard Dyche Anderson

    IPC: H02J7/00 ,  H02J1/10

    CPC classification number: H02J7/0016 ,  H02J1/102 ,  H02J7/0021 ,  H02J7/0052 ,  H02J7/0068 ,  H02J2007/0059 ,  H02M3/33507

    Abstract: An apparatus for model predictive control (“MPC”) is disclosed. A method and system also perform the functions of the apparatus. The apparatus includes a measurement module that receives battery status information from one or more sensors receiving information from a battery cell, and a Kalman filter module that uses a Kalman filter and the battery status information to provide a state estimate vector. The apparatus includes a battery model module that inputs the state estimate vector and battery status information into a battery model and calculates a battery model output, the battery model representing the battery cell, and an MPC optimization module that inputs one or more battery model outputs and an error signal in a model predictive control algorithm to calculate an optimal response. The optimal response includes a modification of the error signal.

    Abstract translation: 公开了一种用于模型预测控制的装置（“MPC”）。 一种方法和系统还执行该装置的功能。 该装置包括测量模块，其从一个或多个传感器接收来自电池单元的信息的电池状态信息，以及卡尔曼滤波器模块，其使用卡尔曼滤波器和电池状态信息来提供状态估计向量。 该装置包括电池模型模块，其将状态估计向量和电池状态信息输入到电池模型中并计算电池模型输出，表示电池单元的电池模型以及输入一个或多个电池模型输出的MPC优化模块，以及 模型预测控制算法中的误差信号来计算最优响应。 最佳响应包括误差信号的修改。

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