Abstract: A device comprises: a first fluid channel for a first fluid, the first fluid channel including first barriers; a second fluid channel for a second fluid, the second fluid channel including second barriers; and a thermoelectric module between the first and second fluid channels, the thermoelectric module thermally coupled to each of the first and second fluid channels.

Abstract: In some embodiments, an electric vehicle (EV) includes an energy storage, a navigation system, and a vehicle management system configured to receive, from the navigation system, parameters associated with preconditioning the energy storage for charging, precondition, while travelling to a destination charger and based on the parameters, the energy storage to a target temperature, and charge the energy storage to a target state of energy using the destination charger.

Abstract: A policy file may be received at a vehicle outfitted with a plurality of sensors, the policy file governing a policy for capturing and uploading sensor data from at least one of the plurality of sensors characterizing a driving event of the vehicle. An over the air (OTA) update of a policy manager installed at the vehicle may be executed to install the policy file, the policy manager being configured to analyze the sensor data to detect and capture a subset of the sensor data related to the driving event, based on the policy file. The subset of the sensor data may be recorded in an event file, and the event file may be uploaded to the external network, based on the policy file. Consequently, it is possible to identify, transmit, and analyze driving events, while continuing to use sensor data for autonomous driving and control of a vehicle.

Abstract: A computer-implemented method comprises: receiving camera images and three dimensional (3D) data captured by a first vehicle during travel; obtaining, by providing the camera images to a two-dimensional (2D) object detection algorithm, 2D bounding boxes corresponding to first objects visible in the camera images; obtaining 3D bounding boxes corresponding to second objects in the 3D data; performing association of the 2D bounding boxes with corresponding ones of the 3D bounding boxes using a first neural network; and generating, using the camera images and the 2D bounding boxes associated with corresponding ones of the 3D bounding boxes, training data for training a second neural network to perform 2D and 3D object detection in an advanced driver assistance system (ADAS) for a second vehicle.

Abstract: A computer-implemented method comprises: receiving sensor data collected during operation of a vehicle, the sensor data including images from at least one camera on the vehicle and other sensor data from at least one other sensor on the vehicle; identifying, based on the sensor data, a corner case for a first neural network model of an advanced driver assistance system (ADAS) of the vehicle; filtering the images to identify a subset of the images depicting the corner case, the filtering performed using a second neural network model; labeling the subset of the images with regard to the corner case, wherein a remainder of the images are not labeled; and retraining the first neural network model using the labeled subset of the images and a subset of the other sensor data corresponding to the subset of the images.

Abstract: A system for detecting an anomaly of a vehicle pump. The system receives input parameters comprising at least a pump speed command to a pump of a vehicle at a time t, and an electric current of the pump prior to the time t. The system applies, to the input parameters, a machine learning model, configured to determine one or more output parameters comprising at least a predicted electric current of the pump at the time t, in response to the pump speed command. The system determines, based at least on the predicted electric current of the pump and a sensed electric current of the pump at the time t, whether an anomaly is associated with the pump of the vehicle.

Abstract: Managing camera outputs in an interactive multi-display surrounding view system comprises: receiving outputs from at least four cameras of the vehicle; stitching together the outputs into a first image of a top-down view of vehicle surroundings; adding a three-dimensional (3D) model of the vehicle to the first image, based on the vehicle surroundings, to generate a first enhanced image; and simultaneously presenting (i) the first enhanced image on a first display device of the vehicle, the first display device providing a first touchscreen input control for a first aspect of the first enhanced image, and (ii) a second image on a second display device of the vehicle, the second image comprising one of the outputs, the second display device providing a second touchscreen input control for a second aspect of the second image, wherein the first and second touchscreen input controls accept inputs simultaneously and non-simultaneously with each other.

Abstract: A method comprises: providing, in an onboard charger of an electric vehicle, a direct current (DC) to DC stage including a dual-active bridge having switches arranged in multiple legs, each of the multiple legs controlled by a corresponding one of pulse width modulation (PWM) signals; and dynamically modulating the PWM signals to improve zero voltage switching (ZVS) in the onboard charger.

Abstract: A method comprises: applying, by a motor controller of an electric motor, a bandpass filter to a signal from a sensor on a rotor of the electric motor, the signal indicating rotational speed of the rotor to detect a torsional oscillation or vibration in a driveline of the electric motor to be attenuated; providing the filtered signal to a proportional derivative controller configured for disturbance rejection; generating, by the proportional derivative controller, an attenuation signal for attenuating the torsional oscillation or vibration in the driveline; combining the attenuation signal with a driver torque command signal to produce a combined torque command signal, the driver torque command signal indicating an amount of torque requested from the electric motor; and producing torque with the electric motor based on the combined torque command signal.

Abstract: A vehicle comprises: an advanced driver assistance system (ADAS) generating a command for an aspect of vehicle motion; an actuator for controlling the aspect of the vehicle motion, the actuator connected to the ADAS; and a bias estimator circuit that estimates a bias between the command for the aspect of vehicle motion and an effective vehicle motion aspect, the bias estimator circuit estimating the bias using an operator that predicts a next timestep of nonlinear functions of vehicle state, wherein the command for the aspect of vehicle motion is corrected using the bias estimated by the bias estimator circuit to provide a corrected command for the aspect of vehicle motion for use by the actuator.

Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for activating a function by selecting a graphical user interface (GUI) element on a screen of a vehicle using a capacitive controller. In some implementations, the method can include detecting an active selection of a first GUI element on the screen of the vehicle selectable using the capacitive controller positioned on a steering wheel of the vehicle. In addition, the method can include detecting a movement of a finger of a driver in the vehicle across the capacitive controller on the steering wheel of the vehicle. The method can further include determining a direction of the movement of the finger. The method can additionally include automatically moving the active selection to a second selectable GUI element on the screen based on the direction of the movement of the finger.

Abstract: A vehicle seat in part comprises an eight-pivot angled assembly comprising: front and rear subassemblies each mounted to a cushion frame at a non-perpendicular angle to floor rails, each of the front and rear subassemblies comprising upper pivots and lower pivots coupled to each other respective links, a crossmember coupling links to each other. An electric motor is coupled to the eight-pivot angled assembly and configured to actuate the front and rear subassemblies into a first position, and into a second position where the cushion frame and a cushion are positioned further inboard in the vehicle than in the first position.

Abstract: A three-level T-type neutral point clamp (TNPC) inverter comprises: a first direct current (DC) terminal and a second DC terminal; a first capacitor and a second capacitor electrically connected in series between the first and second DC terminals; and first, second and third circuitry legs, each of the first, second and third circuitry legs including i) switches electrically connected in series between the first and second DC terminals, and ii) a T-leg switch electrically connected between a point between the first and second capacitors and a point between the switches, wherein the T-leg switch is undersized compared to the switches.

Abstract: A method comprises: in an onboard charger of an electric vehicle, providing i) a direct current (DC) to DC stage including a dual-active bridge, and ii) a DC link capacitor having a DC bus voltage; and dynamically regulating the DC bus voltage to improve zero voltage switching (ZVS) in the onboard charger.

Abstract: In one aspect, a system for supporting over-the-air (OTA) software updates is configured to transmit, over a network, an upload network address for the uploading a packaged computer program, in response to receiving a first request. The system stores an association between the packaged computer program and a UUID. In response to receiving a second request that includes one or more VINs associated with respective one or more vehicles targeted to update software to a specified UUID, the system stores records that associate the one or more VINs with the specified UUID. In response to receiving a third request from a control unit of the vehicle, the system transmits a download network address for the vehicle to use to download the packaged computer program from the file server, when it is determined that the vehicle is associated with one VINs stored in the database.

Abstract: Sensor data may be received from a plurality of sensors installed on a vehicle and characterizing driving conditions of the vehicle. The sensor data may be continuously stored in a ring buffer implemented using a random access memory (RAM). A recording trigger to record event data related to a driving event of the vehicle may be received. A subset of sensor data may be extracted from the ring buffer, based on the recording trigger. The subset of the sensor data may be recorded in an event file in a second memory.

Abstract: A computer-implemented method of performing static heating of an electric motor comprises: applying a brake to a wheel of a vehicle that has an electric motor; determining an incline of the vehicle; and in response to the incline being within a first incline range, providing first current to the electric motor for static heating, the first current selected so as to not produce torque in the electric motor.

Abstract: A method of calibrating an advanced driver assistance system (ADAS) for a vehicle comprises: receiving first information by a mobile device that has a camera and a light detection and ranging (LiDAR) device, the first information comprising a three-dimensional (3D) specification of physical dimensions for the vehicle having the ADAS; scanning, by the mobile device, the vehicle and a physical target for the ADAS, the scanning performed with the camera and the LiDAR device after receiving the first information, the scanning generating frame data; tracking, by the mobile device, the vehicle in the frame data using the first information; generating, by the mobile device, an output indicating whether the physical target is positioned at a target location for the ADAS; and initiating, after the output is generated, a calibration process of the ADAS that uses the physical target.