Embodiments of the invention relates to a Solid-state optical receiver driver system, particularly for automotive applications, comprising at least one optical receiver channel, the optical receiver channel being connectable to a respective optical receiver, which is characterized in that the solid-state optical receiver driver system further comprises at least one test signal generation unit, for providing a test signal to the at least one optical receiver channel. The invention further relates to a method for testing a solid-state optical receiver driver system.

An equipment inspection system receives data captured by a sensor of an autonomous vehicle (AV). The captured data describes a current state of equipment for servicing the AV. The equipment inspection system compares the captured data to a model describing an expected state of the equipment. The equipment inspection system determines, based on the comparison, that the equipment differs from the expected state. The equipment inspection system may transmit data describing the current state of the equipment to an equipment manager. The equipment manager may schedule maintenance for the equipment based on the current state of the equipment.

A processor, responsive to detecting a controller is drawing power from a battery to perform a task when a vehicle is parked and detecting a parameter indicative of a likelihood that the controller will complete the task within a predefined time period has a value less than a threshold value, generates a message for a user requesting whether the controller should be shut down without completing the task.

Arc fault detection modules for vehicles intended to supervise circuits and detect arc fault conditions in both alternating current and direct current circuits. A number of these arc fault detection modules may be integrated into a vehicle's electrical system in strategic locations. Each arc fault module contains sensing capabilities for monitoring the circuit, and may also include signal conditioning capabilities, processing capabilities for determining the occurrence of an arc fault, contactors for disabling the supervised circuit, and communications capabilities to interact with other vehicle components and telematics systems. As a result arc fault detection odules can be customized to leverage existing features of a vehicle's electrical system or to provide fully redundant arc fault protection.

A battery management system includes a voltage sensor to generate a voltage signal indicating a voltage of a battery, a current sensor to generate a current signal indicating a current flowing through the battery, and a control unit to record a voltage history and a current history of the battery based on the voltage signal and the current signal at a predetermined time interval during constant current charging of the battery. The control unit determines a differential capacity curve indicating a correlation between the voltage of the battery and a differential capacity in a reference voltage range. The control unit performs a first protection operation for the battery by comparing a first characteristic voltage of a main feature point with a reference voltage when the main feature point is detected from the differential capacity curve.

The present disclosure relates to systems and methods for analyzing health of vehicle batteries and vehicle electrical systems. Vehicle batteries, as well as other components of a vehicle electrical system, tend to degrade over time, and eventually fail. The described systems and methods generate an electrical system metric based on electrical data from a plurality of vehicles. Electrical system performance of individual vehicles is compared to the generated electrical system metric, to determine electrical system performance of vehicles relative to other similar vehicles.

A method and a system for estimating degradation of a battery for an electric vehicle are provided. The method includes determining a current battery resistance increase rate by measuring an increase in resistance of the battery during charging of the battery, determining an initial battery resistance increase rate on the basis of a predetermined initial battery resistance increase rate map for indicating the battery resistance increase rate of the battery in a begin of life (BOL) state, and calculating current degradation of the battery on the basis of the current battery resistance increase rate and the initial battery resistance increase rate.

A safety mechanism device includes measuring whether a first output signal or results meets dynamically adjustable boundary criterion. The safety mechanism compares the first output signal with at least one boundary signal that is dynamically adjusted. The safety mechanism can produce a dynamically or automatically adjusted boundary signal using a second output signal. The second output signal can mimic the first output signal.

The disclosure provides a method and system for monitoring a battery short circuit and an apparatus. The method includes: receiving collected electrical signal information of all cells in each traction battery; performing self-discharge observation and calculating a self-discharge rate based on a cell voltage in electrical signal information of each cell after depolarization is completed, to determine whether there is an internal short circuit in a traction battery where the cell corresponding to the self-discharge rate is located; and triggering alarm handling for the internal short circuit in the traction battery based on a back-fed result that there is an internal short circuit in the traction battery. In this way, a problem of how to monitor a micro-internal short circuit in a traction battery in a good static working condition with accuracy and efficiency while taking operation into consideration is solved, data collection of a static battery and calculation based on big data records are implemented, and a calculation method is improved, thereby improving accuracy and efficiency of monitoring an internal short circuit in the traction battery while taking operation into account.

According to an apparatus and a method for detecting a cable abnormality based on reflectometry utilizing artificial intelligence according to the exemplary embodiment of the present disclosure, it is possible to monitor a state of the cable which connects the nodes in real time by inserting a result of the time-frequency domain reflectometry into a variational autoencoder (VAE) which is one of unsupervised learning.