INTELLIGENT MOTOR VEHICLES AND CONTROL LOGIC FOR SPEED HORIZON GENERATION AND TRANSITION FOR ONE-PEDAL DRIVING

    公开(公告)号:US20220176827A1

    公开(公告)日:2022-06-09

    申请号:US17110814

    申请日:2020-12-03

    Abstract: A method of operating a vehicle includes a vehicle controller receiving a driver acceleration/deceleration command for the vehicle's powertrain and determining a torque request corresponding to the driver's acceleration command. The controller shapes the torque request and determines compensated and uncompensated accelerations from the shaped torque request. The compensated acceleration is based on an estimated road grade and an estimated vehicle mass, whereas the uncompensated acceleration is based on a zero road grade and a nominal vehicle mass. A final speed horizon profile is calculated as: a speed-control speed profile based on the uncompensated acceleration if the vehicle's speed is below a preset low vehicle speed; or a torque-control speed profile based on a blend of the compensated and uncompensated accelerations if the vehicle speed exceeds the preset low vehicle speed. The controller commands the powertrain to output a requested axle torque based on the final speed horizon profile.

    ACTIVE THERMAL MANAGEMENT SYSTEM AND METHOD FOR FLOW CONTROL

    公开(公告)号:US20210061063A1

    公开(公告)日:2021-03-04

    申请号:US16551064

    申请日:2019-08-26

    Abstract: Systems and methods are provided for management of a thermal system. A system for thermal management includes a thermal system with fluid conduits. A sensor is disposed to monitor an input parameter state of the thermal system. An actuator is configured to vary a flow in the fluid conduits. A controller is configured to receive a signal representative of the input parameter state; process an actuator state through a flow model of the thermal system to obtain an existing flow in the fluid conduits; process the existing flow through a thermal model of the thermal system to determine an input that reduces an error between a desired parameter state and the input parameter state; process the input through an inverse flow model to convert the input to a desired actuator state; and position the actuator in the desired actuator state.

    METHOD AND APPARATUS FOR CONTROLLING A VEHICLE INCLUDING AN ADAPTIVE CRUISE CONTROL SYSTEM

    公开(公告)号:US20200324766A1

    公开(公告)日:2020-10-15

    申请号:US16380275

    申请日:2019-04-10

    Abstract: Operating a subject vehicle equipped with an adaptive cruise control system includes setting initial states for control parameters, including setting a desired vehicle speed and determining a desired following gap range, wherein the desired following gap range is associated with a lead vehicle. Operation is controlled via the adaptive cruise control system based upon the initial states for the control parameters. Operation also includes monitoring for presence of the lead vehicle. Upon detecting presence of the lead vehicle, an actual following gap is determined between the subject vehicle and the lead vehicle, and the initial states of the control parameters associated with the adaptive cruise control system are adjusted based upon the actual following gap between the subject vehicle and the lead vehicle, and the desired following gap range. Operation is controlled via the adaptive cruise control system based upon the adjusted initial states of the control parameters.

    Electric-drive motor vehicles, systems, and control logic for predictive charge planning and powertrain control

    公开(公告)号:US10759298B2

    公开(公告)日:2020-09-01

    申请号:US16116129

    申请日:2018-08-29

    Abstract: Presented are intelligent vehicle systems and control logic for predictive charge planning and powertrain control of electric-drive vehicles, methods for manufacturing/operating such systems, and electric-drive vehicles with smart charge planning and powertrain control capabilities. Systems and methods of AI-based predictive charge planning for smart electric vehicles use machine-learning (ML) driver models that draws on available traffic, location, and roadway map information to estimate vehicle speed and propulsion torque requirements to derive a total energy consumption for a given trip. Systems and methods of AI-based predictive powertrain control for smart hybrid vehicles use ML driver models with deep learning techniques to derive a drive cycle profile defined by a preview route with available traffic, geopositional, geospatial, and map data. ML-generated driver models are developed with collected data to replicate driver behavior and predict the drive cycle profile, including predicted vehicle speed, propulsion torque, and accelerator/brake pedal positions for a preview route.

    METHOD OF CONTROLLING A VEHICLE TO ADJUST PERCEPTION SYSTEM ENERGY USAGE

    公开(公告)号:US20190302877A1

    公开(公告)日:2019-10-03

    申请号:US15944003

    申请日:2018-04-03

    Abstract: A method of controlling a vehicle includes determining a current operating situation of the vehicle, and identifying a subset of a plurality of sensors of the vehicle needed to provide data to enable a vehicle control function for the current operating situation of the vehicle. A remainder of the plurality of sensors is disengaged to reduce electric energy usage by the vehicle while the vehicle is operating in the current operating situation of the vehicle. A sampling rate for the selected subset of sensors may be reduced to further reduce energy usage of the vehicle. Additionally, an energy reduction processing strategy may be implemented to reduce a processor frequency or a voltage of a computing device used to provide the vehicle control function to further reduce energy usage of the vehicle.

    Detection of reversion based on mass air flow sensor readings

    公开(公告)号:US10125710B2

    公开(公告)日:2018-11-13

    申请号:US14623817

    申请日:2015-02-17

    Abstract: An engine system includes a mass air flow sensor and a manifold absolute pressure sensor configured to provide a real-time MAP signal during an event. The mass air flow sensor is configured to generate a set of mass air flow readings based on an airflow through the mass air flow sensor during the event. The set of mass air flow readings have a maximum value and a minimum value. A controller is configured to execute a method for detecting reversion in the air flow. If the rate of change in the real-time MAP signal is less than the predetermined transient threshold value (T0), the method includes setting a delta factor (D) as the difference between the maximum value and the minimum value. Reversion is detected based at least partially on a magnitude of the delta factor (D).

    ENGINE CONTROL USING CALCULATED CYLINDER AIR CHARGE
    9.
    发明申请
    ENGINE CONTROL USING CALCULATED CYLINDER AIR CHARGE 有权
    使用计算气缸充气的发动机控制

    公开(公告)号:US20160290256A1

    公开(公告)日:2016-10-06

    申请号:US14672321

    申请日:2015-03-30

    Abstract: A system includes a turbocharged engine, sensors, and a controller. The engine includes an engine intake manifold, air intake manifold, a compressor, a first aftercooler device, a throttle that admits cooled compressed air to the engine intake manifold, and cylinders. The sensors determine engine status signals and include a first manifold pressure (MAP) sensor positioned with respect to the first aftercooler device, a second MAP sensor positioned with respect to the engine intake manifold, a mass airflow (MAF) sensor positioned in the air intake manifold, a first manifold temperature (MAT) sensor positioned in the engine intake manifold, and a second MAT sensor positioned between the first aftercooler device and the throttle. The controller executes a method to calculate a cylinder air charge using an oxygen level of post-combustion gasses and the engine status signals, and controls an operation of the engine using the calculated air charge via engine control signals.

    Abstract translation: 一种系统包括涡轮增压发动机,传感器和控制器。 发动机包括发动机进气歧管,进气歧管,压缩机,第一后冷器装置,允许冷却的压缩空气到发动机进气歧管的油门和气缸。 传感器确定发动机状态信号,并且包括相对于第一后冷器装置定位的第一歧管压力(MAP)传感器,相对于发动机进气歧管定位的第二MAP传感器,定位在进气口中的质量气流(MAF)传感器 歧管,定位在发动机进气歧管中的第一歧管温度(MAT)传感器和位于第一后冷器装置和节气门之间的第二MAT传感器。 控制器执行使用后燃气体的氧水平和发动机状态信号来计算气缸空气充量的方法,并且经由发动机控制信号使用计算的空气充量来控制发动机的操作。

    PREDICTION OF INTAKE MANIFOLD PRESSURE IN AN ENGINE SYSTEM
    10.
    发明申请
    PREDICTION OF INTAKE MANIFOLD PRESSURE IN AN ENGINE SYSTEM 有权
    在发动机系统中预测入口压力

    公开(公告)号:US20160237941A1

    公开(公告)日:2016-08-18

    申请号:US14623819

    申请日:2015-02-17

    Abstract: An engine assembly includes an intake manifold and a manifold absolute pressure sensor configured to generate a current measured manifold absolute pressure (MAPM) signal for the intake manifold. The assembly includes a throttle valve adjustable to control airflow to the intake manifold and a throttle position sensor configured to generate a current measured throttle position (TPM) signal. A controller is operatively connected to the throttle valve and the manifold absolute pressure sensor and has a processor and tangible, non-transitory memory on which is recorded instructions for executing a method for determining a predicted manifold absolute pressure (MAPP). Execution of the instructions by the processor causes the controller to determine the predicted manifold absolute pressure (MAPP) based at least partially on a predicted throttle flow (TFP) and the current measured manifold absolute pressure (MAPM) signal.

    Abstract translation: 发动机组件包括进气歧管和歧管绝对压力传感器,其构造成产生用于进气歧管的电流测量歧管绝对压力(MAPM)信号。 组件包括可调节以控制到进气歧管的气流的节流阀和构造成产生电流测量节气门位置(TPM)信号的节气门位置传感器。 控制器可操作地连接到节流阀和歧管绝对压力传感器,并且具有处理器和有形的非暂时性存储器,其上记录有用于执行用于确定预测歧管绝对压力(MAPP)的方法的指令。 由处理器执行指令使得控制器至少部分地基于预测的油门流量(TFP)和当前测量的歧管绝对压力(MAPM)信号来确定预测的歧管绝对压力(MAPP)。

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