TURBOCHARGER FLOW CONTROL
    32.
    发明申请
    TURBOCHARGER FLOW CONTROL 有权
    涡轮增压器流量控制

    公开(公告)号:US20140227109A1

    公开(公告)日:2014-08-14

    申请号:US13762549

    申请日:2013-02-08

    Abstract: A method for controlling a turbocharger is provided. The turbocharger has a turbine operatively connected to an exhaust of an internal combustion engine, and a compressor operatively connected to an intake of the engine. The method includes determining a boost pressure command for the compressor. The boost pressure command is configured to provide sufficient combustion reactant for the engine. The method includes calculating a compressor power from the determined boost pressure command, and calculating a turbine flow from the calculated compressor power. The method commands the turbocharger to operate at the calculated turbine flow.

    Abstract translation: 提供了一种用于控制涡轮增压器的方法。 涡轮增压器具有可操作地连接到内燃机的排气的涡轮机和可操作地连接到发动机的进气口的压缩机。 该方法包括确定压缩机的增压压力指令。 增压指令构造成为发动机提供足够的燃烧反应物。 该方法包括根据所确定的增压指令计算压缩机功率,以及从计算的压缩机功率计算涡轮机流量。 该方法命令涡轮增压器在计算出的涡轮流量下运行。

    DYNAMIC CONTROL OF BATTERY CHARGING
    34.
    发明公开

    公开(公告)号:US20240300377A1

    公开(公告)日:2024-09-12

    申请号:US18181092

    申请日:2023-03-09

    Abstract: A system for control of a battery system includes a processor connected to the battery system and configured to perform, in real time during a charging process, acquiring a set of charging parameter measurements, estimating a dynamic performance variable related to an electrochemical phenomenon occurring within the battery system during the charging process, and selecting a stored charging profile from a stored relation based on the charging parameter measurements. The processor is further configured to perform applying a charging current to the battery system based on the selected stored charging profile, inputting the charging parameter measurements, the stored charging profile and the stored relation to a learning agent, and evaluating the stored charging profile according to a reward-based learning process, the learning process including estimating a performance value associated with the stored charging profile. The processor is configured to periodically update the stored charging profile based on the learning process.

    GOAL-BASED ELECTRIC VEHICLE CHARGING
    35.
    发明公开

    公开(公告)号:US20240051428A1

    公开(公告)日:2024-02-15

    申请号:US17885698

    申请日:2022-08-11

    Abstract: A system in a vehicle includes memory to store driving history and charging history of the vehicle. The system also includes a processor to obtain a predicted battery life of one or more battery packs of the vehicle based on the driving history and the charging history, obtain a targeted battery life of a user indicating a mileage goal for a specific charge capacity of the one or more battery packs, and determine a difference between the predicted battery life and the targeted battery life. The processor solves an optimization problem to determine a future charging strategy to achieve the targeted battery life and controls an onboard charging system or an external charger based on the future charging strategy or controls routing or navigation based on the future charging strategy.

    METHOD OF DIAGNOSING A PROPULSION SYSTEM OF A VEHICLE, AND A SYSTEM THEREFOR

    公开(公告)号:US20200224601A1

    公开(公告)日:2020-07-16

    申请号:US16247746

    申请日:2019-01-15

    Abstract: A method of diagnosing a propulsion system implements a top-down hierarchical examination procedure, in which the propulsion system is analyzed as a whole to determine if the propulsion system is healthy. Data from a first set of vehicle sensors is compared to a system-healthy data cluster to determine if the propulsion system is healthy or unhealthy. If the propulsion system is unhealthy, then a plurality of subsystems of the propulsion system are each analyzed at a first examination level using selective data from the sensors to identify one of the subsystems as an unhealthy subsystem. A plurality of component systems of the unhealthy subsystem are then analyzed at a second examination level using other selective data from the sensors to identify one of the component systems of the unhealthy subsystem as an unhealthy component system.

    Predictive torque management for powertrain having continuous actuators and multiple discrete modes

    公开(公告)号:US10550786B1

    公开(公告)日:2020-02-04

    申请号:US16149194

    申请日:2018-10-02

    Abstract: A method controls multiple continuous actuators to achieve a discrete mode of operation in a system. The method may include determining a desired output state of the system, including processing a control input set for the multiple continuous actuators via a dynamical predictive model of the system, and then processing the control input set via the dynamical predictive model to determine possible control solutions for achieving the desired output state of the system at a calibrated future time point. The method may include using a cost function logic block to identify, from among the possible control solutions, a lowest-cost control solution for executing the discrete mode at the future time point, processing the lowest-cost control solution through a real-time optimization logic block to determine an optimized solution for the discrete mode, and then executing the optimized solution at the future time point.

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