Abstract: The present disclosure relates to a method for detecting an electric arc in an electrical system (100), comprising the following steps: a) acquiring a signal (104) coming from at least one sensor (102) detecting acoustic waves in the system (100); b) calculating, using an electronic processing device (106), a first value representative of the error between the signal and a first projection of the signal in a first representation space defined by a first dictionary matrix; b) calculating, using the electronic processing device (106), a second value representative of the error between the signal and a second projection of the signal in a second representation space defined by a second dictionary matrix; and d) determining, from the first and second values, whether an electric arc has been produced in the system.

Abstract: An estimation method for estimating a cell's state-of-charge includes obtaining a capacitance prediction for a cell based at least in part on a preceding capacitance thereof and correcting that prediction by acquiring measurements of a physical quantity that depends on a summation of currents passing through the cell. The correction is based at least in part on a difference between the measurement of the physical quantity and a prediction for that quantity.

Abstract: An automatic estimation procedure for estimating a battery's state-of-charge includes predicting the state-of-charge using a state model that includes a state-transition matrix. An observation model then uses an observability matrix in connection with predicting a measured value of a parameter. State noise, the covariance of which is characterized by a state-noise covariance matrix contaminates this prediction. Similarly, measurement noise, the covariance of which is characterized by a measurement covariance matrix, contaminates this prediction. The values of these covariance matrices are then adjusted during the estimation procedure.

Abstract: The invention concerns a method and a system for detecting an electric arc in an electrical installation (7) equipped with at least one sensor (5) capable of detecting temporal acoustic signals produced by the electrical installation (7), said method being characterised in that it comprises a device for analysis (3) configured to analyse any temporal acoustic signal (5) coming from said one or more sensors (5) by associating with said acoustic signal a corresponding parsimony measurement (m) whose value indicates whether the acoustic signal is an electrical arc signature or not.

Abstract: Automatically determining state-of-charge of a battery with cells includes, for each cell, scheduling refreshment times for the cell as a function of the cell's priority level, at times that correspond to refreshment times for the first cell, fully executing an estimation algorithm for the first cell, for at least a second cell of the set of cells, and at times other than those that correspond to refreshment times for the second cell, partially executing the estimation algorithm for the cell thereby obtaining an estimate of the second cell's state-of-charge, and determining a state-of-charge of the battery from states-of-charge estimated for each of the cells of the battery. The estimation algorithm estimates a cell's state-of-charge at a particular time as a function of a measured voltage and a measured current, both of which are obtained at the particular time.

Abstract: A method of detecting an electric arc in an electrical system from a signal originating from at least one sensor detecting acoustic waves in the system, including: a) calculating by means of a processing device, over a sliding window of signal samples, at least one statistical parameter selected from the skewness and the kurtosis of the signal; b) detecting a possible occurrence of an event by taking into account said at least one statistical parameter; and c) performing a frequency analysis of the signal enabling to identify an electric arc when an event is detected at step b).

Abstract: A method for determining the impedance of an energy storage element of an electric battery comprises the steps of: applying a predetermined sequence of current variations to the element; measuring the voltage variations at the terminal of the element in response to the application of said sequence; and determining the impedance of the element from the measured voltage variations, wherein said is a non-binary sequence produced by the convolution of a pseudo-random binary sequence with finite impulse response filter coefficients.

Abstract: The invention relates to an electrical system comprising a plurality of modules that can be powered independently withy current, characterised in that it further comprises: a module configured to apply to each of the modules a current which is modulated by a signal specific to the module, an acoustic sensor enabling the measurement of an acoustic signal that accompanies an electrical arc generated by a defective module, a treatment unit configured to identify a signature of one of the specific signals in the acoustic signal measured by the acoustic sensor in order to identify the defective module. The invention also relates to a method for locating faults in such an electrical system.