Abstract:
A method for battery capacity estimation is provided. The method includes monitoring a sensor, collecting a plurality of data points including a voltage-based state of charge value and an integrated current value, defining within the data points a first data set collected during a first time period and a second data set collected during a second time period, determining an integrated current error related to the second data set, comparing the integrated current error related to the second data set to a threshold integrated current error. When the error related to the second data set exceeds the threshold, the method further includes resetting the second data set based upon an integrated current value from the first time period. The method further includes combining the data sets to create a combined data set and determining a voltage slope capacity estimate as a change in integrated current versus voltage-based state of charge.
Abstract:
Powerflow is managed using a method, e.g., in a powertrain system having a multi-pack rechargeable energy storage system (RESS) with parallel battery packs. Each pack has a corresponding maximum electrical (current or voltage) limit. The method includes predicting a corresponding terminal voltage for each pack using the corresponding maximum electrical limit. The method includes selecting a terminal voltage as a selected voltage based on a requested operating mode, including selecting a maximum of the terminal voltages when the requested operating mode is a discharging mode and a minimum of the same when the requested operating mode is a charging mode. A pack current through each pack is predicted using the selected voltage and a corresponding battery state space model. A total power capability of the RESS is predicted over a predetermined prediction horizon using the selected voltage, with the operating mode controlled over the prediction horizon via the controller.
Abstract:
System and method of controlling operation of a device having a rechargeable energy storage pack with a plurality of cells, based on propulsion loss assessment. A controller is configured to obtain a state of charge data and an open circuit voltage of the rechargeable energy storage pack. The controller is configured to obtain a state of charge disparity factor (dSOC) from a selected dataset. The state of charge disparity factor (dSOC) is defined as a difference between a minimum value of the state of charge and an average value of the state of charge of the plurality of cells. The controller is configured to control operation of the device based in part on the state of charge disparity factor (dSOC) and a plurality of parameters (Pi), including raising one or more of a plurality of flags each transmitting respective information to a user.
Abstract:
Powerflow of a rechargeable energy storage system (RESS) is managed according to a method. The RESS has series-connected first and second battery elements with different characteristics. Each element, e.g., a pack, has a corresponding maximum or minimum voltage or current limit. Currents are predicted for each of the first and second battery elements via a controller using a corresponding voltage limit. A requested operating mode of the RESS is used to select a current for the elements. A voltage across the elements is predicted using the selected current and a corresponding battery state space model. The method predicts a total power capability of the RESS over a prediction horizon using the selected current to generate predicted power capability values. The requested operating mode is controlled over the horizon using the power capability values. A powertrain system includes the RESS, an inverter, an electric machine, and the controller.
Abstract:
A method for generating a glare-reduced image from images captured by a camera device of a subject vehicle includes obtaining a short-exposure image and a long-exposure image and generating a resulting high dynamic range image based on the short-exposure and long-exposure images. Pixel values are monitored within both the short- and long-exposure images. A light source region is identified within both the short- and long-exposure images based on the monitored pixel values. A glaring region is identified based on the identified light source region and one of calculated pixel ratios and calculated pixel differences between the monitored pixel values of the long- and short-exposure images. The identified glaring region upon the resulting high dynamic range image is modified with the identified light source region within the short-exposure image. The glare-reduced image is generated based on the modified identified glaring region upon the resulting HDR image.
Abstract:
A system and method for determining when to display frontal curb view images to a driver of a vehicle, and what types of images to display. A variety of factors—such as vehicle speed, GPS/location data, the existence of a curb in forward-view images, and vehicle driving history—are evaluated as potential triggers for the curb view display, which is intended for situations where the driver is pulling the vehicle into a parking spot which is bounded in front by a curb or other structure. When forward curb-view display is triggered, a second evaluation is performed to determine what image or images to display which will provide the best view of the vehicle's position relative to the curb. The selected images are digitally synthesized or enhanced, and displayed on a console-mounted or in-dash display device.
Abstract:
An apparatus for capturing an image includes a plurality of lens elements coaxially encompassed within a lens housing. A split-sub-pixel imaging chip includes an IR-pass filter coating applied on selected sub-pixels. The sub-pixels include a long exposure sub-pixel and a short-exposure sub-pixel for each of a plurality of green blue and red pixels.
Abstract:
A driver alert system includes a computer processor disposed in a vehicle. The computer processor is configured to receive driver attention data over a vehicle network during a driving event. The computer processor executes logic to process the driver attention data and evaluate the driver attention data for a triggering event. The system also includes a steering wheel unit disposed in the vehicle and lights that are integrated on a front windshield-facing surface of a steering wheel of the steering wheel unit. The lights are positioned at an angle to reflect light off of a front windshield of the vehicle. The system also includes a controller disposed in the steering wheel unit. The controller is communicatively coupled to the lights and the vehicle network. The controller receives a request from the computer processor to activate the lights when the triggering event has occurred.