Abstract: An AI system and a method of preventing capture of an AI module in the AI system is disclosed. The AI system includes an input interface, a signature verification module, an AI module configured to execute multiple AI models, a hash module, and a key generation module. A signature module and the key generation module provide an output to the user in response to a received input from the user. The AI module further includes an output interface configured to transmit an output response from the signature module to the user.

Abstract: A safety circuit for a high-voltage (HV) electrical system and a HV electrical device are disclosed. The HV electrical system includes one or more one HV electrical devices. Each HV electrical device includes a low-voltage electrical line. A resistor is connected in parallel to the low-voltage electrical line. A controller is connected to the HV electrical device through the low-voltage electrical line.

Abstract: A device and method determines available regenerative braking energy in a route for a target vehicle. The device is in communication with a navigation unit and is configured to split the at least one route between a source and a destination into multiple segments followed by determining vehicular data of the target vehicle. The device determines available/recoverable regenerative braking energy in the at least one route for the target vehicle based on selective vehicular data of other vehicles similar to the target vehicle, which have travelled through the at least one route. The device is configured to dynamically predict the available regenerative braking energy originating from random longitudinal deceleration maneuvers for the chosen route from source location to the chosen destination location for any hybrid or electric vehicle. The device improves fuel efficiency and reduces emissions.

Abstract: An AI system includes an input interface configured to receive input data from at least one user, and a blocker module configured (i) to detect the received input data is an attack input data, (ii) to manipulate output data of the blocker module, and (iii) to send the output data from the blocker module to the at least one user. The AI system further includes an AI module configured to process the input data received by the blocker module and to generate output data corresponding to the input data. The AI system also includes a blocker notification module configured to transmit a notification to the owner of the AI system on detecting an attack input data, and an output interface configured to send the generated output data to the at least one user.

Abstract: The system is provided to calibrate the ECU of the vehicle. The system comprises a remote computer, a central server, a local computer and setup comprising at least a dynamo meter, and at least one actuator. The dynamo meter and the actuator are interfaced and operated with the local computer. The central server is connected to the local computer by a second networking means, and a remote computer is connected to the central server by a first networking means. The remote computer, uploads instructions to the central server, executes the instructions through the local computer to operate the dynamo meter and the actuator, and calibrates the ECU of the vehicle. The instructions are downloaded to the local computer by the second networking means.

Abstract: A method is for route identification that is conducive for successful diagnosis of an exhaust gas treatment system of a vehicle. In the method, an ECU in the vehicle receives a value of GPS coordinates from a GPS module, and the ECU retrieves a value of day, date, and time from an ECU clock. The ECU monitors a value of engine operating conditions with reference to the received value of GPS coordinates and the retrieved value of day, date, and time. The ECU identifies a segment of GPS coordinates for successful diagnosis of an exhaust gas treatment system based on the monitored value. Upon the identification, the segment of GPS coordinates is stored in ECU memory.

Abstract: A control unit is configured to determine a first parameter from a back EMF signal, and to determine at least one second parameter from the back EMF signal corresponding to the first parameter. The control unit verifies, based on the first parameter, at least one condition containing the at least one second parameter, and detects stall or step-loss in the stepper motor based on the verification. The control unit uses a pattern detection by identifying characteristic features of peaks of the back EMF signal, which are order, magnitude and polarity. These characteristic features are independent of RPM, backlash, load and do not require complex calculations and are very robust even at lower RPMs.

Abstract: Techniques for electromagnetic modelling of EM structures are described. Krylov subspace of a second EM structure is augmented with Eigen vectors of a first EM structure to form an augmented space. The second EM structure is a design variant of the first EM structure and the first EM structure is already EM modelled and simulated. Thereafter, Maxwell's equations for the second EM structure are solved using the augmented space.

Abstract: A controller is provided to drive an inverter circuit for a PMSM. The inverter circuit is connected to a battery through a DC link capacitor, and is driven in one safe state during a fault condition. The controller monitors at least one parameter with respective threshold value to drive the inverter circuit in one safe state comprising an active Short Circuit (SC) and a Freewheel (FW). While in FW state, the controller switches from the FW state to the SC state if the at least one parameter is above the respective threshold. While in SC state, the controller controls engine speed to bring the PMSM to a predetermined speed when the stator temperature is more than a threshold temperature value. The controller switches from the SC state to the FW state.