Abstract: Presented are target object detection systems for deriving host vehicle velocities, methods for making/using such systems, and motor vehicles with host vehicle velocity estimation capabilities. A method of automating operation of vehicles includes an electronic transmitter of a vehicle's target object detection system emitting electromagnetic signals, and an electronic receiver receiving multiple reflection echoes caused by each electromagnetic signal reflecting off target objects within proximity of the vehicle. A vehicle controller determines a relative velocity vector for each target object based on these reflection echoes. The relative velocity vectors are assigned to discrete vector clusters. The controller estimates a host vehicle velocity vector as an average of the relative velocity vectors in the vector cluster containing the most relative velocity vectors and having the largest spatial spread.

Abstract: One general aspect includes a system to translate language exhibited on a publicly viewable sign, the system including: a memory configured to include one or more executable instructions and a processor configured to execute the executable instructions, where the executable instructions enable the processor to carry out the steps of: reviewing the sign; translating relevant information conveyed on the sign from a first language to a second language; and producing an output in an interior of a vehicle, the output based on the second language of the relevant information.

Abstract: Methods and systems are provided for detecting objects within an environment of a vehicle. In one embodiment, a method includes: receiving, by a processor, image data sensed from the environment of the vehicle; determining, by a processor, an area within the image data that object identification is uncertain; controlling, by the processor, a position of a lighting device to illuminate a location in the environment of the vehicle, wherein the location is associated with the area; controlling, by the processor, a position of one or more sensors to obtain sensor data from the location of the environment of the vehicle while the lighting device is illuminating the location; identifying, by the processor, one or more objects from the sensor data; and controlling, by the processor, the vehicle based on the one or more objects.

Abstract: A body structure for an automotive vehicle includes an enclosure for a power source, an upper shear structure assembly and a lower shear structure assembly. The enclosure includes a front cross-member, a rear cross-member, a left rocker and a right rocker. The upper and lower shear structure assemblies are disposed across the top and bottom of the enclosure, respectively, and are fastened to respective top and bottom surfaces of the cross-members and rockers. The upper and lower shear structure assemblies may include respective front and rear generally trapezoidal sections configured for attachment to respective front and rear box structures. Each of the shear structure assemblies is effective to dissipate in-plane a portion of an external load imposed upon the enclosure.

Abstract: A gear assembly includes a first gear having a first hub surrounded by a first plurality of teeth. The first plurality of teeth each define a respective first contact region. The gear assembly includes a second gear having a second hub surrounded by a second plurality of teeth. The second plurality of teeth are adapted to mesh with the first plurality of teeth at the respective first contact region in order to drive a respective load in a first direction. The first hub and the first plurality of teeth include respective zones defining a respective elastic modulus. A three-dimensional distribution of the respective physical size and the respective elastic modulus of the respective zones is optimized such that a fluctuation of mesh stiffness along the respective first contact region is at or below a first predefined threshold.

Abstract: Method and systems for object detection using a radar module are disclosed. Frames of range and doppler data are received from a radar module at sample time intervals. Doppler zero slice data is extracted from a current frame of the range and doppler data. A prediction of doppler zero slice data is maintained. The prediction of doppler zero slice data is based at least partly on doppler zero slice data from a previous frame of range and doppler data. Standard deviation data is determined based at least partly on prediction error data. The prediction error data relates to a difference between the prediction of doppler zero slice data and the doppler zero slice data. An object detection output is determined based on a comparison of the standard deviation data and an object detection threshold.

Abstract: Presented are integrated electrical interconnect board (ICB) assemblies for battery modules, rechargeable traction battery packs equipped with such ICB assemblies, and methods for making/using such ICB assemblies. A battery module for storing and supplying electrical energy includes multiple battery cells that are stacked in side-by-side facing relation with one another and each has a battery cell casing with an electrical terminal projecting therefrom. An electrically insulating module housing has a housing base that supports thereon the stacked battery cells. An integrated ICB assembly, which is attached to the module housing, includes a central cover in spaced facing relation to the housing base, endwalls projecting from the central cover, and multiple busbar connectors attached to the endwalls and electrically connected to the battery cells' electrical terminals.

Abstract: A cell-mounted application specific integrated circuit (ASIC) system for a vehicle includes a battery pack having multiple individual battery cells. An individual cell-mounted application specific integrated circuit (ASIC) is in communication with each of the individual battery cells, with the ASIC drawing power for operation directly from the individual battery cell. A battery control unit is in communication with the ASIC. A central electronics control unit is in communication with the ASIC. The ASIC communicates wirelessly with the battery control unit and the central electronics control unit.

Abstract: A vehicle system comprising: i) an infotainment system; ii) a dashboard display module; and iii) an adaptive transforming multifunction control module configured to receive manual inputs from a first occupant of the vehicle system. The adaptive transforming multifunction control module is configured to perform at least one operation based on a first selected function associated with the infotainment system.

Abstract: The present disclosure relates to over-lithiated positive electroactive materials for use within an electrochemical cell. For example, the electrochemical cell includes a positive electrode that includes an over-lithiated positive electroactive material that includes one of LixMn2O4 (where 1.05?x?1.30) and LiMn(2?x)NixO4 (where 0?x?0.5). The electrochemical cell can include a negative electrode that includes a silicon-containing negative electroactive material having a Columbic Efficiency greater than or equal to about 80% and less than or equal to about 90%.

Abstract: Method and systems for one-pedal driving (OPD) control for a vehicle. The methods and systems determine that regenerative braking is to be applied based on accelerator pedal stroke data, predict an upcoming deceleration event based on sensor data from a sensor system of the vehicle, thereby providing deceleration prediction data, adjust a default braking profile based on the deceleration prediction data, generate a regenerative braking command based on the accelerator pedal stroke data and the adjusted braking profile, and output the regenerative braking command to a motor/generator of the vehicle.

Abstract: A method and system include transmitting transmit signals from a radar system. The transmit signals are linear frequency modulated continuous wave signals. The method includes receiving reflected signals at the radar system based on reflection of at least at subset of the transmit signals by one or more objects. A range from the radar system associated with each of the reflected signals corresponds with a frequency of the reflected signal. The reflected signals are processed to identify and locate the one or more objects. Processing includes applying an adaptive range-selective gain control (ARSGC) to control a gain corresponding with each of the reflected signals based on the range associated with the reflected signal.

Abstract: An autonomous vehicle including a sensor system that outputs a sensor signal indicative of a condition of the autonomous vehicle. The vehicle also includes a user interface device with a display. A computing system determines, based upon a profile of the passenger, that support is to be provided pictorially to the passenger when the support is provided to the passenger. The computing system further detects occurrence of an event that has been identified as potentially causing discomfort to the passenger. The computing system yet further sets a predefined pictorial support message defined in an account corresponding to the event maintained in a database prior to occurrence of the event as a pictorial support message to be presented to the passenger. The computing system additionally causes the display to present the pictorial support message, wherein the pictorial support message solicits feedback from the passenger of the autonomous vehicle.

Abstract: A bipolar capacitor-assisted solid-state battery is disclosed that includes a plurality of electrochemical battery unit cells, each of which includes a negative electrode, a positive electrode, and a lithium ion-conductive electrolyte-containing separator disposed between the negative electrode and the positive electrode. The lithium ion-conductive electrolyte-containing separator of each electrochemical battery unit cell comprises a solid-state electrolyte material, and, additionally, at least one negative electrode of the electrochemical battery unit cells or at least one positive electrode of the electrochemical battery unit cells includes a capacitor material. The bipolar capacitor-assisted solid-state battery further includes a bipolar current collector disposed between a negative electrode of one electrochemical battery unit cell and a positive electrode of an adjacent electrochemical battery unit cell.

Abstract: A system or method for determining virtual data of a system, relative to a measurement point having a sensor located nearby, is determined by a controller. The system calculates modeled data at the measurement point, filters the modeled data to determine filtered data, and calculates a differential between the modeled data and the filtered data to determine a compensation term. The system also determines raw-sensed data from the sensor at the measurement point, and combines that raw-sensed data with the compensation data to calculate the virtual data at the measurement point. In some configurations, the modeled data is determined from a physics-based model. Furthermore, filtering the modeled data may include using a low-pass filter, and a time constant for the low-pass filter may be calculated based on operating conditions of the system.

Abstract: Systems and methods are provided for controlling a vehicle. In one embodiment, a method includes: determining, by a processor, road features of an upcoming road based on at least one of sensor data and map data; computing, by the processor, a required viewing angle of a sensor based on the road features; computing, by the processor, an operational envelope based on the required viewing angle and a sensor profile, wherein the operational envelope includes points along a map where the sensor can sense; and generating a control signal to disable autonomous control of the vehicle based on the operational envelope.

Abstract: A method to establish a lane-change maneuver, the method includes the steps of calculating a plurality of anchor points along a projected vehicle route and, based on the plurality of anchor points, generating a lane-change maneuver trajectory. The plurality of anchor points can include: a first anchor point based on time, a second anchor point where the vehicle would cross a lane boundary from a host lane to a target lane, and a third anchor point where counter steering torque would be applied to center the vehicle in the target lane.

Abstract: The present application relates to a method and apparatus for multi vehicle sensor suite diagnosis in a motor vehicle including a receiver operative to receive a remote vehicle sensor data indicative of a location of a target, a sensor operative to collect a host vehicle sensor data indicative of the location of the target, a processor operative to generate a sensor confidence score in response to a comparison of the first remote vehicle sensor data and the host vehicle sensor data, the processor being further operative to perform an assisted driving operation in response to the sensor confidence score, and a transmitter for transmitting the host vehicle sensor data and the sensor confidence score to a first remote vehicle.

Abstract: In various embodiments, methods, systems, and vehicles are provided for determining a fault in a suspension system of a vehicle. In an exemplary embodiment, sensor data is obtained via one or more vehicle sensors during operation of the vehicle; a one or more first coefficients for the vehicle are calculated via a processor using a pitch model with the sensor data; one or more second coefficients for the vehicle are calculated via the processor using a roll model with the sensor data; and a fault in the suspension system is determined via the processor using the first coefficients and the second coefficients.

Abstract: Described herein is a server computing system that controls an autonomous vehicle to perform an operation to at least one of measure or isolate an effect of a variable on an actual power consumption by the autonomous vehicle. Data indicative of the actual power consumption, which is generated based on the operation, and data indicative of a projected power consumption, which is accumulated based on prior execution of the operation by a same or different autonomous vehicle, is received by the server computing system to determine whether an energy efficiency of the autonomous vehicle is degraded. The operation may be performed to identify a degraded vehicle system or component of the autonomous vehicle or to identify an autonomous vehicle in a fleet of autonomous vehicles for which further analysis is desirable. An output is generated by the server computing system that is indicative of the energy efficiency prognostics.