Abstract:
A method for dynamically adjusting a battery current limit in a system having a battery pack includes determining a battery pack current as a charge current flowing into or a discharge current flowing from the battery pack, and also calculating a time-windowed average current for each of the charge current, the discharge current, and an RMS current of the battery pack. The battery current limit may be dynamically adjusted when any or all of the calculated time-windowed averages exceeds a corresponding calibrated control threshold. The battery current limit is a window-specific current limit that is greater than the calibrated control threshold and less than a static/fixed current limit for the battery pack. A system includes the battery pack, a sensor operable for measuring a current inflow/outflow to/from the battery pack, and a controller programmed to dynamically adjust the battery current limit using the above method.
Abstract:
A full speed range adaptive cruise control system for a host vehicle includes a plurality of sensors that each generate a signal, a memory that includes executable instructions and a processor that executes the executable instructions. The executable instructions enable the processor to detect a target vehicle as being stopped along a route based upon the signals from the plurality of sensors, cause the host vehicle to stop at a distance from the target vehicle, detect the target vehicle moving along the route after the host vehicle has stopped based upon the signals from the plurality of sensors, determine whether a first predetermined period of time has elapsed since the host vehicle has stopped, determine whether a first predetermined condition is satisfied if the first predetermined period of time has elapsed, and cause the host vehicle to move if the system determines that the first predetermined condition is satisfied.
Abstract:
A method for dynamically adjusting a battery current limit in a system having a battery pack includes determining a battery pack current as a charge current flowing into or a discharge current flowing from the battery pack, and also calculating a time-windowed average current for each of the charge current, the discharge current, and an RMS current of the battery pack. The battery current limit may be dynamically adjusted when any or all of the calculated time-windowed averages exceeds a corresponding calibrated control threshold. The battery current limit is a window-specific current limit that is greater than the calibrated control threshold and less than a static/fixed current limit for the battery pack. A system includes the battery pack, a sensor operable for measuring a current inflow/outflow to/from the battery pack, and a controller programmed to dynamically adjust the battery current limit using the above method.
Abstract:
Adaptive estimation techniques to create a battery state estimator to estimate power capabilities of the battery pack in a vehicle. The estimator adaptively updates circuit model parameters used to calculate the voltage states of the ECM of a battery pack. The adaptive estimation techniques may also be used to calculate a solid-state diffusion voltage effects within the battery pack. The adaptive estimator is used to increase robustness of the calculation to sensor noise, modeling error, and battery pack degradation.
Abstract:
Presented are automated driving systems for intelligent vehicle control, methods for making/using such systems, and motor vehicles equipped with such automated driving systems. A method for executing an automated driving operation includes: determining path plan data for a subject motor vehicle, including current vehicle location and predicted route data; receiving, from a network of sensing devices, sensor data indicative of current object position and object dynamics of a target object; applying sensor fusion techniques to the received sensor data to determine a threat confidence value that is predictive of target object intrusion with respect to the vehicle's location and predicted route; determining if this threat confidence value is greater than a calibrated threshold value; and, responsive to the threat confidence value being greater than the calibrated threshold value, transmitting one or more command signals to one or more vehicle systems (e.g., powertrain, steering and/or brake system) to take preventive action.
Abstract:
Adaptive estimation techniques to create a battery state estimator to estimate power capabilities of the battery pack in a vehicle. The estimator adaptively updates circuit model parameters used to calculate the voltage states of the ECM of a battery pack. The adaptive estimation techniques may also be used to calculate a solid-state diffusion voltage effects within the battery pack. The adaptive estimator is used to increase robustness of the calculation to sensor noise, modeling error, and battery pack degradation.
Abstract:
A battery system may include a plurality of subdivisions, such as battery cells or sub-packs. A measurement system configured to determine a subdivision electrical parameter associated with each of a plurality of subdivisions. A battery control may identify a subdivision satisfying a criterion based on the plurality of subdivision electrical parameters. According to some embodiments, the battery control system may determine a ratio of the subdivision electrical parameter of the identified subdivision to the electrical parameter of the battery pack. The ratio may be used to scale the electrical parameter associated with the battery pack by the ratio. According to other embodiments, the subdivision electrical parameter associated with the identified subdivision may be provided to a battery state estimation system. The scaled electrical parameter or the electrical parameter associated with the identified subdivision may be used by a battery state estimation system to generate an estimated battery state.
Abstract:
Systems and methods for estimating the relative capacity of individual battery subdivisions in a battery system are presented. In some embodiments, a system may include calculation system configured to analyze the electrical parameters to generate derivative values of the parameters over a period of time. The calculation system may further calculate summation values associated with individual battery subdivisions based upon the derivate values. A battery control system may utilize the summation values to generate one or more commands configured to control an aspect of an operation of the battery pack based on using the summation values. The summation values associated with battery subdivisions may be used to determine a relative capacity for storing electrical energy, according to some embodiments. The determination of relative capacity may be used by a control system to prevent over-discharge of a battery subdivision having the lowest energy storage capacity.
Abstract:
A method for controlling automated vehicle acceleration and braking includes detecting, via at least one vehicle object sensor of a host vehicle, a closest-in-path (CIP) target vehicle ahead of the host vehicle, obtaining a path history of the CIP target vehicle, the path history including multiple historic positions of the CIP target vehicle at specified time intervals, obtaining a path history of the host vehicle, the path history of the host vehicle including multiple historic positions of the host vehicle at the specified time intervals, comparing the path history of the CIP target vehicle to the path history of the host vehicle to determine a divergence index, and in response to the divergence index being less than a specified divergence threshold, controlling automated acceleration and braking of the host vehicle based at least in part on tracked movement of the CIP target vehicle.
Abstract:
A method for controlling operation of a motor vehicle includes an electronic controller receiving, e.g., from a vehicle-mounted sensor array, sensor data with dynamics information for a target vehicle and, using the received sensor data, predicting a lane assignment for the target vehicle on a road segment proximate the host vehicle. The electronic controller also receives map data with roadway information for the road segment; the controller fuses the sensor and map data to construct a polynomial overlay for a host lane of the road segment across which travels the host vehicle. A piecewise linearized road map of the host lane is constructed and combined with the predicted lane assignment and polynomial overlay to calculate a lane assignment for the target vehicle. The controller then transmits one or more command signals to a resident vehicle system to execute one or more control operations using the target vehicle's calculated lane assignment.