Abstract: A diagnostic system for diagnosing faults in a power inverter including a power loss estimating module configured to calculate a power loss of one or more components of the power inverter. A junction temperature estimating module is configured to output an estimated junction temperature of the one or more components of the power inverter. A plurality of temperature sensors is configured to sense a plurality of temperatures of a plurality of inverter legs, respectively. A health indicator generating module is configured to generate a plurality of health indicators in response to the estimated junction temperature and the plurality of sensed temperatures of the plurality of inverter legs. A fault identification module is configured to selectively identify one of an inverter fault, a temperature sensor fault, and no fault in response to the plurality of health indicators.

Abstract: Examples described herein provide a method that includes performing an electrical degradation analysis for a power inverter. The method further includes performing a thermal degradation analysis on the power inverter. The method further includes, responsive to at least one of a result of the electrical degradation analysis being indicative of an electrical issue of the power inverter or a result of the thermal degradation analysis being indicative of a thermal issue of the power inverter, implementing a corrective action for the power inverter.

Abstract: A diagnostic system for diagnosing faults in a power inverter including a power loss estimating module configured to calculate a power loss of one or more components of the power inverter. A junction temperature estimating module is configured to output an estimated junction temperature of the one or more components of the power inverter. A plurality of temperature sensors is configured to sense a plurality of temperatures of a plurality of inverter legs, respectively. A health indicator generating module is configured to generate a plurality of health indicators in response to the estimated junction temperature and the plurality of sensed temperatures of the plurality of inverter legs. A fault identification module is configured to selectively identify one of an inverter fault, a temperature sensor fault, and no fault in response to the plurality of health indicators.

Abstract: A diagnostic system for an inverter module includes a motor control module configured to determine operating characteristics of the inverter module. The operating characteristics include of at least one of a voltage, a current, and a switching frequency associated with operation of the inverter module. A diagnostic module is configured to receive the operating characteristics of the inverter module, estimate at least one junction temperature of a component of the inverter module based on the operating characteristics, calculate a health indicator of the inverter module based on the estimated junction temperature, and selectively output an alert based on the calculated health indicator.

Abstract: A diagnostic system for an inverter module includes a motor control module configured to determine operating characteristics of the inverter module. The operating characteristics include of at least one of a voltage, a current, and a switching frequency associated with operation of the inverter module. A diagnostic module is configured to receive the operating characteristics of the inverter module, estimate at least one junction temperature of a component of the inverter module based on the operating characteristics, calculate a health indicator of the inverter module based on the estimated junction temperature, and selectively output an alert based on the calculated health indicator.

Abstract: A diagnostic system includes: a current command module configured to, based on a motor torque request, a motor speed, a direct current (DC) bus voltage, generate a d-axis current command for an electric motor and a q-axis current command for the electric motor; a voltage command module configured to, based on the d-axis current command and the q-axis current command, generate a d-axis voltage command and a q-axis voltage command; a switching control module configured to control switching of an inverter module based on the d-axis voltage command and the q-axis voltage command, where the inverter module is configured to apply power to stator windings of the electric motor from the DC bus; and a fault module configured to selectively indicate that the stator windings of the electric motor are degraded when the d-axis voltage command is less than a predetermined nominal d-axis voltage of the electric motor.

Abstract: A control system for an electric motor includes a power input calculating module configured to calculate power input to the electric motor. A power output calculating module is configured to calculate power output by the electric motor. A power loss calculating module is configured to calculate power loss in the electric motor based on the power input and the power output. A fault module is configured to compare the power loss in the electric motor to one or more predetermined power loss thresholds and to selectively alter operation of the electric motor based on the comparison.

Abstract: An FGF21 Fc fusion protein, a GLP-1 Fc fusion protein, and a combination therapeutic agent. The combination therapeutic agent consists of a first pharmaceutical composition comprising an FGF21 Fc fusion protein and a second pharmaceutical composition comprising a GLP-1 Fc fusion protein. The fusion proteins or a combination thereof is used for preventing or curing cardiovascular diseases and/or metabolic diseases; the diseases comprise obesity, diabetes, hyperlipidemia, nonalcoholic fatty liver disease, atherosclerosis, diabetic cardiomyopathy, coronary atherosclerotic cardiomyopathy, and other diseases related to insulin resistance.

Abstract: A system and method for predicting a collision between a host vehicle and a target vehicle operating on a multi-lane roadway may include determining the host and target vehicles are converging from respective first and second lanes to a third lane intermediate the first and second lanes. A predetermined set of conditions is evaluated including relationships among the host and target vehicle separations and speeds, and a collision predicted based upon the evaluation.

Abstract: Methods and systems to implement sensor fusion to determine collision potential for a vehicle include identifying a specific intersection that the vehicle is approaching, and identifying collision potential scenarios associated with one or more paths through the specific intersection. Each collision potential scenario defines a risk of a collision between the vehicle and an object in a specified area. A weight with which one or more information sources of the vehicle are considered is adjusted for each collision potential scenario such that a highest weight is given to one or more of the one or more information sources that provide most relevant and reliable information about the specified area. Sensor fusion is implemented based on the adjusting the weight of the one or more information sources and performing detection based on the sensor fusion, and an alert is provided or actions are implemented according to the detection.

Abstract: Systems and methods for vehicle-target localization, identification and indication. The system includes a vehicle module operating onboard a vehicle and configured to receive a request for a tether and send the tether responsive thereto, and a target module operating on a target external to the vehicle. The target module can generate target profile data (TPD) comprising location information for the target, such as, a first component that is a function of a detected first WiFi signal having a first signal strength. The request for the tether including the TPD is transmitted to the vehicle module; a tether of secured communications is established between the vehicle module and target module. Real-time TPD is exchanged during the tether and the vehicle module performs the V-T localization as a function of the RT TPD, and commands the vehicle based on V-T localization data.

Abstract: A system and method for determining the presence of a hidden hazard may include identification of an operational scene for a host vehicle, and identification of an operational situation for the host vehicle. Information from a plurality of proximity sensors is collected and classified. A plurality of hidden hazard presence probabilities corresponding to the information from each of the plurality of proximity sensors, the operational scene, the operational situation, and at least one of a comparative process and a dynamic neural network process are estimated. A fusion process may be performed upon the plurality of hidden hazard presence probabilities to determine the presence of a hidden hazard.

Abstract: The present disclosure relates to a dual-function protein for regulating blood glucose and lipid metabolism, wherein said dual-function protein comprises a human GLP-1 analog and human FGF21. In the present disclosure, provided is a method for preparing said dual function protein, and also provided is the use of said dual-function protein in the preparation of a biological substance for treating type 2 diabetes, obesity, dyslipidemia, fatty liver disease and/or metabolic syndrome. The dual-function protein provided in the present disclosure can synergistically regulate blood glucose and lipid levels in vivo, and satisfy multiple requirements for patients with type 2 diabetes such as lowering blood glucose, relieving hepatic steatosis, reducing body weight and improving metabolic disorders of circulating lipids.

Abstract: An electric drive system of a vehicle comprises a motor, a position sensor, an inverter, sensors to sense current and voltage supplied to the motor, and a controller to control the motor by controlling the inverter based on data from the position sensor and the sensors and a torque command. The controller estimates a motor torque using a motor model, calculates the motor torque, and generates a first state of health for the electric drive system based on a difference between the estimated and calculated motor torques. The controller generates, in response to the first state of health being less than or equal to a first threshold, a second state of health for at least one of the position sensor, the sensors, and the motor, and determines whether one of the position sensor, the sensors, and the motor is faulty based on the first and second states of health.

Abstract: A process for local traffic approximation through analysis of cloud data is provided. The process includes, within a computerized traffic flow estimation controller of a host vehicle, operating programming to monitor a planned navigational route of the host vehicle, identify along the planned navigational route a road section including cross-traffic, monitor cloud data related to a mobile cellular device, analyze the cloud data to identify traffic posing a hazardous condition to the host vehicle within the road section, and generate a vehicle alert to a driver of the host vehicle based upon the identified traffic.

Abstract: A system and method for determining the presence of a hidden hazard may include identification of an operational scene for a host vehicle, and identification of an operational situation for the host vehicle. Information from a plurality of proximity sensors is collected and classified. A plurality of hidden hazard presence probabilities corresponding to the information from each of the plurality of proximity sensors, the operational scene, the operational situation, and at least one of a comparative process and a dynamic neural network process are estimated. A fusion process may be performed upon the plurality of hidden hazard presence probabilities to determine the presence of a hidden hazard.

Abstract: A system and method for predicting a collision between a host vehicle and a target vehicle operating on a multi-lane roadway may include determining the host and target vehicles are converging from respective first and second lanes to a third lane intermediate the first and second lanes. A predetermined set of conditions is evaluated including relationships among the host and target vehicle separations and speeds, and a collision predicted based upon the evaluation.

Abstract: Methods and systems to implement sensor fusion to determine collision potential for a vehicle include identifying a specific intersection that the vehicle is approaching, and identifying collision potential scenarios associated with one or more paths through the specific intersection. Each collision potential scenario defines a risk of a collision between the vehicle and an object in a specified area. A weight with which one or more information sources of the vehicle are considered is adjusted for each collision potential scenario such that a highest weight is given to one or more of the one or more information sources that provide most relevant and reliable information about the specified area. Sensor fusion is implemented based on the adjusting the weight of the one or more information sources and performing detection based on the sensor fusion, and an alert is provided or actions are implemented according to the detection.

Abstract: Systems and methods of determining collision potential for a vehicle involve identifying a specific intersection that the vehicle is approaching, and determining an intention of a driver of the vehicle to traverse a specific path through the specific intersection. A method includes identifying an obstructed portion of a relevant area for the specific path of the vehicle through the specific intersection. An object travelling within the relevant area will intersect with the specific path of the vehicle and one or more sensors of the vehicle are blocked from detections in the obstructed portion of the relevant area. An alert is provided or actions are implemented based on the obstructed portion of the relevant area.

Abstract: A diagnostic system includes: a current command module configured to, based on a motor torque request, a motor speed, a direct current (DC) bus voltage, generate a d-axis current command for an electric motor and a q-axis current command for the electric motor; a voltage command module configured to, based on the d-axis current command and the q-axis current command, generate a d-axis voltage command and a q-axis voltage command; a switching control module configured to control switching of an inverter module based on the d-axis voltage command and the q-axis voltage command, where the inverter module is configured to apply power to stator windings of the electric motor from the DC bus; and a fault module configured to selectively indicate that the stator windings of the electric motor are degraded when the d-axis voltage command is less than a predetermined nominal d-axis voltage of the electric motor.