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: 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: A method for detecting and locating a fault affecting an electrical cable includes the steps of (a) placing a first sensor and a second sensor along the cable, the second sensor being an acoustic sensor; (b) detecting the occurrence of the fault with the first sensor at a first time, and with the second sensor at a second time; (c) taking into account a propagation speed of an acoustic wave generated by the fault; (d) estimating a position of the fault depending on the first time and on the second time, on the basis of the propagation speed resulting from step (c); (e) determining a reference propagation speed depending on the position resulting from step (d) of the fault, and comparing said reference propagation speed with the propagation speed taken into account in step (c); and, (f) depending on the comparison, validating the position resulting from step (d) or reiterating steps (c) to (f) while adjusting, in step (c), the propagation speed taken into account.

Abstract: Estimating cell capacitance includes learning a function that returns capacitance as a function of an earlier capacitance and a physical characteristic that is correlated with changes in that capacitance and using a supervised learning algorithm on a learning database that has values of the capacitance, values of that physical characteristic measured concurrently with the capacitance and a preceding value of the capacitance.

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: 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: A method for estimating state-of-charge of a battery cell includes suppressing full execution of a capacitance-estimation algorithm for as long as a parameter does not exceed a certain threshold. The parameter is either a measured voltage value across the cell's terminals, the cell's estimated state-of-charge, or an amount of charge passing in or out of the cell during some interval. A battery-management system triggers full execution when the parameter falls below the threshold, or, if the parameter is the amount of charge passing, when it rises above the threshold.

Abstract: The radio access system (1) for the communication network includes a radio transceiver (2), a device for connecting to an electrical grid (6), an electrical energy production device (4) and a battery (5) for storing electrical energy produced by said production device (4) and for electrically powering the radio transceiver (2). According to the invention, a control device (100) determines an operating strategy for the battery (5) by optimizing an objective function (O) that associates a cost with a possible operating strategy for the battery (5) during a period of determined duration T and while respecting at least one constraint for protecting the battery (5) against accelerated ageing, and manages the incoming and outgoing flows of electrical energy of the battery (5) depending on the determined operating strategy.

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: The invention is a method for detecting and locating a fault (2) affecting an electrical cable (10), comprising the following steps: a) placing a first sensor (11, 11?) and a second sensor (12), along the cable, the second sensor being an acoustic sensor; b) detecting the occurrence of the fault with the first sensor, at a first time (t1), and with the second sensor, at a second time (t2); c) taking into account a propagation speed (v1, vi) of an acoustic wave generated by the fault; d) estimating a position (x1,xi) of the fault (2) depending on the first time and on the second time, on the basis of the propagation speed resulting from step c); e) determining a reference propagation speed (vref(x1),vref(xi)) depending on the position (x1,xi) resulting from step d) of the fault (2), and comparing said reference speed with the propagation speed taken into account in step c); f) depending on the comparison, validating the position resulting from step d); or reiterating steps c) to f) while adjusting, in s

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: 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: Estimating cell capacitance includes learning a function that returns capacitance as a function of an earlier capacitance and a physical characteristic that is correlated with changes in that capacitance and using a supervised learning algorithm on a learning database that has values of the capacitance, values of that physical characteristic measured concurrently with the capacitance and a preceding value of the capacitance.

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 radio access system (1) for the communication network includes a radio transceiver (2), a device for connecting to an electrical grid (6), an electrical energy production device (4) and a battery (5) for storing electrical energy produced by said production device (4) and for electrically powering the radio transceiver (2). According to the invention, a control device (100) determines an operating strategy for the battery (5) by optimizing an objective function (O) that associates a cost with a possible operating strategy for the battery (5) during a period of determined duration T and while respecting at least one constraint for protecting the battery (5) against accelerated ageing, and manages the incoming and outgoing flows of electrical energy of the battery (5) depending on the determined operating strategy.

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 for estimating state-of-charge of a battery cell includes suppressing full execution of a capacitance-estimation algorithm for as long as a parameter does not exceed a certain threshold. The parameter is either a measured voltage value across the cell's terminals, the cell's estimated state-of-charge, or an amount of charge passing in or out of the cell during some interval. A battery-management system triggers full execution when the parameter falls below the threshold, or, if the parameter is the amount of charge passing, when it rises above the threshold.

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).