Systems and methods relate to electric propulsor fault detection. An exemplary system includes at least a first inverter configured to accept a direct current and produce an alternating current, a first propulsor, a first motor operatively connected with the first propulsor and powered by the alternating current, and at least a noise monitoring circuit electrically connected with the direct current and configured to detect electromagnetic noise and disengage the at least an inverter as a function of the electromagnetic noise.

Systems and methods relate to electric propulsor fault detection. An exemplary system includes at least a first inverter configured to accept a direct current and produce an alternating current, a first propulsor, a first motor operatively connected with the first propulsor and powered by the alternating current, and at least a noise monitoring circuit electrically connected with the direct current and configured to detect electromagnetic noise and disengage the at least an inverter as a function of the electromagnetic noise.

The present invention is related to a signal spectrum analysis technology based on linear frequency modulation transformation (LFM) and fast digital pulse compression, which comprises two parts: a circuit for linear frequency modulation signal and an algorithm for fast digital pulse compression. Wherein, in the circuit the modulated chirp signals are obtained by the input signals mixing with the LO chirp signal and then filtered by the band-pass filter the intermediate frequency (IF) chirp signals are produced. The IF signals are composed of the chirp signals with the same frequency band and the chirp rate, but different initial times. Due to the IF chirp signals being orthogonal to each other, the spectrum of the input signals is extracted by the initial time and the orthogonal accumulation. The full spectrum of the input signal is obtained by changing the start position of the sampling data sets along the time axis. The present invention achieves fast high-resolution spectrum analysis by combining the circuit for linear frequency modulation signal and the algorithm for fast digital pulse compression.

A diagnostic method and a diagnostic system for an electrochemical energy storage cell, and a vehicle including the diagnostic system. An electrical current due to an electrical connection between the energy storage cell and a central load is modulated at a first excitation frequency and is measured centrally. An electrical voltage at the energy storage cell is measured and a first impedance value is determined based on the electrical current and the electrical voltage. Also, a previously-known electrical current due to an electrical connection between the energy storage cell and a predefined cell-individual load is modulated at a second excitation frequency. The electrical voltage occurring at the energy storage cell is measured and a second impedance value is determined based on the previously-known electrical current and the electrical voltage. Diagnostic information is determined and output based on a comparison of the first impedance value with the second impedance value.

A diagnostic method and a diagnostic system for an electrochemical energy storage cell, and a vehicle including the diagnostic system. An electrical current due to an electrical connection between the energy storage cell and a central load is modulated at a first excitation frequency and is measured centrally. An electrical voltage at the energy storage cell is measured and a first impedance value is determined based on the electrical current and the electrical voltage. Also, a previously-known electrical current due to an electrical connection between the energy storage cell and a predefined cell-individual load is modulated at a second excitation frequency. The electrical voltage occurring at the energy storage cell is measured and a second impedance value is determined based on the previously-known electrical current and the electrical voltage. Diagnostic information is determined and output based on a comparison of the first impedance value with the second impedance value.

A measurement instrument for acquiring an input signal is described. The measurement instrument includes a first acquisition path with a first acquisition circuit having a first sampling rate. The measurement instrument includes at least one second acquisition path with a second acquisition circuit, having a second sampling rate. The measurement instrument is configured to acquire the input signal with an overall sampling rate being higher than the first sampling rate and the second sampling rate. The first acquisition path and the at least one second acquisition path each have a decimation filter and a decimator connected in series to the decimation filter, thereby equalizing a low frequency band in the input signal when processing the input signal. Further, method of acquiring an input signal is described.

A measurement instrument for acquiring an input signal is described. The measurement instrument includes a first acquisition path with a first acquisition circuit having a first sampling rate. The measurement instrument includes at least one second acquisition path with a second acquisition circuit, having a second sampling rate. The measurement instrument is configured to acquire the input signal with an overall sampling rate being higher than the first sampling rate and the second sampling rate. The first acquisition path and the at least one second acquisition path each have a decimation filter and a decimator connected in series to the decimation filter, thereby equalizing a low frequency band in the input signal when processing the input signal. Further, method of acquiring an input signal is described.

Embodiments of the present disclosure describe frequency detection techniques for detecting power irregularities. These irregularities may include variations or abnormalities in switched-mode power supply circuit switching behavior, power spikes, and/or output oscillations. The frequency detection techniques may compare different frequency components of the power signal to detect irregularities.

Embodiments of the present disclosure describe frequency detection techniques for detecting power irregularities. These irregularities may include variations or abnormalities in switched-mode power supply circuit switching behavior, power spikes, and/or output oscillations. The frequency detection techniques may compare different frequency components of the power signal to detect irregularities.

A method, a system, and a computer program for executing high resolution spectrum monitoring. A sensor receives an input signal having a varying frequency content over time. One or more samples of the received input signal are sampled. The samples of the received input signal include one or more swept signal samples generated by sweeping, using a center frequency of the sensor, the received input signal across an entire frequency spectrum associated with the received input signal. Sampling of the samples of the received signal is performed while performing the sweeping. The signal samples are processed.