Robert Boschgmbh

General Electric Company

Xiaoyun Zang

Alexander Boronka

Dong Wang

Qilin Huang

Wei Zhu

Tao Zhu

Meng Gao

Wei Zhang

Xudan Liu

Guangyi Zhu

Sabrina Kathrin Rechkemmer

Yongle Mao

Oliver T H Sawodny

Weiya Li

A method for monitoring and identifying sensor faults in an electric drive system of a vehicle includes collecting corresponding data using sensors in the electric drive system, inputting the collected data to an already-established sensor fault mode identification model, and determining whether a fault mode exists and a fault mode type based on the collected data using the sensor fault mode identification model. The method quickly determines the fault mode caused by a sensor fault in the electric drive system, and the fault mode type of the sensor fault.

Monitoring and identifying sensor failure in an electric drive system

An integrated electric drive system includes an electric machine having a first housing and an output shaft, a transmission having a second housing and a drive shaft, and a power electronics module with a third housing and an electronic device configured to provide electric power for the electric machine. The transmission receives an input torque of the output shaft and outputs the same via the drive shaft. The power electronics module is configured to be arranged around the drive shaft. The integrated electric drive system can be installed on an electric vehicle. The integrated electric drive system has a more compact structure with a higher degree of integration, and better heat dissipation capability, facilitating spatial optimization and lightweight design of the electric vehicle.

Integrated electric drive system and electric vehicle

An optimization system includes a processor configured to receive one or more criteria for optimizing use of a power storage device in an application device, to receive data comprising at least one of user input(s), data from a cloud, and data regarding the application device, and to determine a charging/discharging profile for charging or discharging the power storage device from the received data based on the one or more criteria. The optimization system further includes an output configured to output the charging/discharging profile. The processor is configured to receive user feedback regarding the charging/discharging profile, machine learning data, big data, and/or a change regarding the optimization system and/or the application device, and to update the charging/discharging profile based on the received at least one of the user feedback regarding the charging/discharging profile, machine learning data, big data and the change regarding the optimization system and/or the application device.

Optimization system and an optimization method

A cooling control system and method for a motor vehicle comprising: a server unit and N client units, wherein N is greater than or equal to 1, the server unit being in data connection with the N client units via a wireless network, the N client units configured to be arranged on N motor vehicles respectively, each client unit configured to perform real-time collection and storage of calculation input data on the corresponding motor vehicle for evaluating a temperature of a unit requiring cooling on the motor vehicle, perform real-time collection and storage of temperature data of the unit requiring cooling, predict, using the collected calculation input data, temperature data at a future time of the unit requiring cooling based on a predictive mathematical model determined by the server unit (), and enable the selective cooling in advance of the unit requiring cooling based on the predicted temperature data.

Motor vehicle cooling control system and method

An optical sensor for estimating positions of rotors in a motor comprises an optical source () and a plurality of photo detectors (), the motor further has stators and is used for e-machines, the optical source () is mounted on the surface of the rotor where the air gap is big enough to not block magnetic flux between the rotors and the stators, the photo detectors () are arranged evenly around the stator tooth slots and configured to detect light emitted by the optical source () and output parameters which are used to estimate the positions of rotors. The proposed low cost optical sensor measures the angular position of rotating e-machine when sensorless control algorithm is applied but limited by response time at high speed region. The optical sensor only adds small cost and provides rotor position information with enough accuracy for FOC control at high rotational speed. A method for estimating positions of rotors in a motor and a motor comprising the optical sensor are also provided.

Optical sensor and method for estimating positions of rotors in a motor and the motor comprising the optical sensor

The present invention relates to a method and apparatus for on-line estimation of an initial position of a surface permanent magnet electric machine in a stationary state or at a first speed. The method () for on-line estimation of an initial position of a surface permanent magnet electric machine in a stationary state or at a first speed comprises: injecting a high-frequency pulsating voltage signal; acquiring a d-axis high-frequency current signal responding to the high-frequency pulsating voltage signal; and estimating an initial position of the surface permanent magnet electric machine on the basis of a second harmonic of the d-axis high-frequency current signal. According to the present invention, the apparatus () for on-line estimation of an initial position of a surface permanent magnet electric machine in a stationary state or at a first speed is also provided, the apparatus comprising a voltage injection unit configured to inject a high-frequency pulsating voltage signal, a current acquisition unit configured to acquire a d-axis high-frequency current signal responding to the high-frequency pulsating voltage signal, and an analysis unit configured to analyse a second harmonic of the d-axis high-frequency current signal so as to estimate an initial position of the surface permanent magnet electric machine.

Method and apparatus for on-line estimation of initial position of surface permanent magnet electric machine

A driving system for an electric vehicle comprises a motor () comprising a first output shaft () and a gearbox () comprising a second output shaft () attachable to a wheel () of the electric vehicle. The first output shaft () is capable of driving the second output shaft () to rotate by engagement of gears of the gearbox (). The first output shaft () is hollow, and the second output shaft () extends through the first output shaft () so that the second output shaft () is disposed coaxially with the first output shaft (). An electric vehicle comprising the driving system is disclosed. The driving system is possible to improve the balancing, the passing ability and the visual appearance of the electric vehicle.

Electric vehicle and driving system for electric vehicle

A method for adjusting the power output of a wind turbine () based on component operating temperatures is disclosed. The method may generally include receiving a signal associated with an operating temperature of the wind turbine (), determining a desired power output range of the wind turbine at the operating temperature (), comparing a power output of the wind turbine to the desired power output range () and adjusting the power output when the power output is outside the desired power output range ().

Methods for adjusting the power output of a wind turbine

Methods and apparatus for continuing wind turbine operation when normal wind turbine motor control is unavailable due to overheating of one or more wind turbine control motors. Technical effects of the present invention include providing an effective control strategy continuing operation during over-heating of a wind turbine control motor, such as a pitch control motor and a yaw control motor.

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Shanghai, China

Xiaoyun Zang