Abstract: An electric vehicle charging system is provided. In some embodiments, the electric vehicle charging system can comprise an electric vehicle comprising a direct current to direct current (DC-DC) booster that boosts a first voltage to a second voltage of a battery of the electric vehicle, and a first insulation monitoring device (IMD) comprising an active symmetrization circuit. In various embodiments, the electric vehicle charging system can further comprise an electric vehicle supply equipment comprising a second IMD and an output voltage comprising the first voltage, wherein the first IMD is communicatively coupled to the second IMD, and wherein the first IMD adjusts a third voltage on a negative side of insulation resistance of the electric vehicle to a fourth voltage on a negative side of insulation resistance of the electric vehicle supply equipment.

Abstract: To ensure proper operation (e.g., speed and/or function) of standard cells fabricated within an integrated circuit a minimum potential difference between the high and low power supply rails needs to be maintained. IR drop refers to a reduction in the potential difference between the power supply rails and is caused when the switching activity of cells that share a power supply rail is greater than can be provided at a particular time. Before fabrication, placement of the cells is reorganized within bounding box regions. Power density across the power rails within each bounding box is normalized based on spatial and temporal power density characteristics of each cell. The reorganization is IR aware and has minimal impact on timing and IR drop is mitigated because distributing current consumption between the supply rails reduces current spikes and IR drops.

Abstract: Techniques are presented for scheduling the charging of electric vehicles (EVs) that protect the resources of local low voltage distribution networks. From utilities, data on local low voltage distribution networks, such as the rating of a distribution transformer through which a group of EVs are supplied, is provided to a load manager application. Telematics information on vehicle usage is provided from the EVs, such as by way of the original equipment manufacturer. From these data, the load manager application determines schedules for charging the group of EVs through a shared low voltage distribution network so that the capabilities of the local low voltage distribution network are not exceeded while meeting the needs of the EV user. Charging schedules are then transmitted to the on-board control systems of the EVs for implementation.

Abstract: New techniques for the partitioning of big element blocks in a circuit are disclosed. The techniques partition both pre-layout and post-layout circuits. If a post-layout circuit has different simulation results from a pre-layout circuit, the techniques determine where and how “cross-talk” of the RC networks due to RC extraction is changing the circuit physics behavior from the original design of the circuit. A flow of the local circuit simulation of the pre-layout netlist and the post-layout netlist of the same design is presented. A flow of reference or relative or differential circuit simulation of a known design and a new design of the same kind is described. This Abstract is not intended to limit the scope of the claims.

Abstract: Dynamic allocation of power modules for charging electric vehicles is described herein. The charging system includes multiple dispensers that each include one or more power modules that can supply power to any one of the dispensers at a time. A dispenser includes a first power bus that is switchably connected to one or more local power modules and switchably connected to one or more power modules located remotely in another dispenser. The one or more local power modules are switchably connected to a second power bus in the other dispenser. The dispenser includes a control unit that is to cause the local power modules and the remote power modules to switchably connect and disconnect from the first power bus to dynamically allocate the power modules between the dispenser and the other dispenser.

Abstract: The present invention provides a semiconductor package, comprising: a support part; a semiconductor chip provided on the support part and including a plurality of signal pads; a buffer layer provided on the semiconductor chip; an adhesive layer provided on the buffer layer; a pressure-reducing layer provided on the adhesive layer; and a mold layer provided on the pressure-reducing layer.

Abstract: In one aspect, a method includes invoking a signoff tool via a first command from an implementation tool running on a register transfer level (RTL) design, and executing a native command of the signoff tool from within the implementation tool. The native command generates a notification. The method also includes determining whether the RTL design passes a low-power signoff check based on the notification and sending the design for final signoff verification based on the determination that the RTL design passes the low-power signoff checks.

Abstract: The present disclosure provides a bidirectional power converter capable of receiving and delivering AC and DC power from and to multiple ports in accordance to its different embodiments. The AC or DC input receives power and at least two power conversion circuits work with a plurality of switches for connecting provides DC or AC current at multiple ports. The power conversion circuits may be rectifier inverters and have module form that connect to the AC and DC ports via a backplane having multiple connectors. The apparatus may also provide DC to DC conversion using a buck/boost circuit.

Abstract: Systems and methods are provided for a multi-die dot-product engine (DPE) to provision large-scale machine learning inference applications. The multi-die DPE leverages a multi-chip architecture. For example, a multi-chip interface can include a plurality of DPE chips, where each DPE chip performs inference computations for performing deep learning operations. A hardware interface between a memory of a host computer and the plurality of DPE chips communicatively connects the plurality of DPE chips to the memory of the host computer system during an inference operation such that the deep learning operations are spanned across the plurality of DPE chips. Due to the multi-die architecture, multiple silicon devices are allowed to be used for inference, thereby enabling power-efficient inference for large-scale machine learning applications and complex deep neural networks.

Abstract: An information processing method for use in a computer includes: acquiring a charging state and a deterioration state of a battery; determining an upper limit of the charging state of the battery based on the deterioration state; determining a charging plan of the battery based on the upper limit of the charging state determined and the charging state; and outputting the charging plan determined.

Abstract: A charging station with multiple plugs and a circuit for the charging station are provided. The circuit comprises a power distribution unit, a control unit, one AC/DC unit and multiple DC/DC units. The AC/DC unit is connected with an input end of each DC/DC unit via a bus; an output end of each DC/DC unit is connected to a corresponding charging plug port via the power distribution unit; and the control unit is configured to detect an output voltage of each of the DC/DC units, and control the power distribution unit to operate according to the output voltage of each of the DC/DC units and a power requirement of a charging plug port, to cause at least one of the DC/DC units to be connected to the charging plug port to achieve power distribution of the charging plug port.

Abstract: A motor vehicle multi-voltage battery device, includes: a first electrical output terminal and an electrical ground terminal providing a first rated voltage; a second electrical output terminal and the electrical ground terminal providing a second rated voltage; a first series circuit having a first battery cell group and a first controllable switch between the first electrical output terminal and electrical ground terminal; a protective resistor parallel to the first switch. The first switch configured to bridge the protective resistor in a closed state; a second battery cell group between the second electrical output terminal and the first electrical output terminal connected switchably in series with the first battery cell group; and a battery management assembly configured to switch the first switch into an open state to protect the first battery cell group.

Abstract: Systems and methods disclosed are generally related to masklessly developing connections between a chip-group and a design connection point on a substrate. In placement of the chip-group on the substrate, according to certain embodiments the chip-group may be dispositioned relative to an expected position per a substrate layout design, causing a connection misalignment with the design connection point. According to certain embodiments, a machine learning (ML) model is trained on historical and simulated pixel models of chip-group connections and design connection points. Upon determining the chip-group misalignment by a metrology measurement, the trained ML model determines a pixel model to connect the misaligned chip-group, and causes the pixel model to be exposed to a substrate with a digital lithography tool, thereby connecting the dispositioned chip-group to the design connection point.

Abstract: A battery management support device that is configured to acquire information on an electric vehicle including a battery that is rechargeable with electric power received from an external power supply. The information includes at least information when the electric vehicle is parked indicating a temperature of the battery, information when the electric vehicle is parked indicating an electrical connection state between the electric vehicle and the external power supply, and information when the electric vehicle is parked indicating an operation state of a cooling device for the battery.

Abstract: A device for detecting a thermal runaway of a battery module with a number of cells includes a current acquisition module that is configured to capture a set of currents, and a temperature acquisition module that is configured to capture a set of temperatures. The device includes a state of charge capturing module that is configured to capture a set of states, and a resistance calculation module that is configured to derive a set of resistances. The device includes a temperature prediction module that is configured to calculate a set of temperature predictors, and a runaway prediction module that is configured to calculate a set of runaway predictors. A warning module that is configured to set a warning indicator when at least one runaway predictor value of the set of runaway predictors exceeds a predefined threshold value.

Abstract: An optical proximity correction (OPC) operation method and an OPC operation device are provided. The OPC operation method includes the following steps. A mask layout is obtained. If the mask layout contains at least one defect hotspot, at least one partial area pattern is extracted from the mask layout according to the at least defect hotspot. A machine learning model is used to analyze the local area pattern to obtain at least one OPC strategy. The OPC strategy is implemented to correct the mask layout.

Abstract: This document describes a passive adapter for wireless charging of an electronic device and associated methods and systems. The described passive adapter includes two coils connected by a capacitor and separated by a core material that prevents mutual coupling between the coils. These two coils may have differing sizes, such that one coil can size-match to a transmitter coil of an existing wireless charger and the second coil can size-match to a smaller (or larger) receiver coil in a wireless-power receiver to charge a battery of the wireless-power receiver. In aspects, these two coils may be separated by a distance that enables the passive adapter to act as a passive repeater by bridging a space between the transmitter coil and the receiver coil.

Abstract: This disclosure describes apparatuses and techniques for a switched multi-cell battery system for electronic devices. In some aspects, a switched multi-cell battery system may transfer, via a plurality of power control switches electrical power from a power adapter to components of the electronic device by charging battery cells in series and by discharging the battery cells in parallel or as a single battery cell. As a result, the switched multi-cell battery system may reduce or eliminate a voltage step-down conversion stage to increase a power-transfer efficiency of an electronic device. By doing so, charging times may be reduced or operating times may be increased, thereby improving users' experience with their electronic devices.

Abstract: According to some embodiments, system and method are provided comprising determining a maximum storage capacity of an energy storage system for a time window; performing a first sort of cycles by sorting in numerical order according to a ratio of a load demand to a total available power from a power generation system at each cycle of time window; assigning a unique, charge priority to each cycle; determining, starting from a highest charge priority, a charge power for each cycle until a total charge power satisfies the maximum storage capacity; determining, starting from a lowest sorted charge priority, an available discharge power for each cycle until a total discharge power exceeds the maximum storage capacity; performing a second sort in a temporal order of the cycles; determining, starting from an earliest cycle, an available state-of-charge (SOC) and adjusting the SOC of the energy storage system for each cycle.

Abstract: A computer-implemented method of selecting a power-optimal compression scheme for transmitting digital control signals from a classical interface of a quantum computer to a quantum processing unit (QPU) of the quantum computer is disclosed. The method involves receiving static and dynamic power consumption values associated with operations performable by the QPU; determining compression schemes implementable by the QPU; calculating total power consumption values associated with receiving and decompressing a representative control signal at the QPU using the compression schemes; and selecting the compression scheme having the lowest total power consumption value. A corresponding method for transmitting control signals from a classical interface of the quantum computer to the QPU is also disclosed in which a compressed control signal is transmitted from the classical interface to the QPU with one or more delays.