Abstract: A computer implemented method for controlling the operation of an engine system in a vehicle is provided. The engine system comprising an engine and an exhaust aftertreatment system for reducing at least NOx emissions of the exhaust gases from the engine using a reductant, the engine system comprising a plurality of engine system components configured to perform a plurality of NOx emission reducing activities.

Abstract: The invention relates to a method (100) for estimating an operating parameter of a battery cell of a battery unit in an electrical propulsion system of a vehicle, the operating parameter being indicative of one of capacity and impedance of the battery cell, the method comprising: selecting (110) at least one battery cell in the battery unit for determining the operating parameter of the battery cell; providing (120) a set of state-of-charge (SOC) estimators, each SOC estimator having a selected operating parameter value for a given time period; and using (130) the set of SOC estimators to determine a value of the operating parameter of the battery cell by performing voltage error minimization.

Abstract: A computer implemented method for anomality detection at a first nitrogen oxide (NOx) sensor forming part of an exhaust gas aftertreatment system (EATS) is provided. The EATS is coupled downstream of an internal combustion engine (ICE). The disclosed methodology applies manipulation of the ICE for detecting such a possible anomality.

Abstract: The present disclosure relates to a method of estimating a charge state for a battery cell, specifically taking into account different operational states (402, 404, 406, 408) of the battery cell. The present disclosure also relates to a battery management arrangement (200) and to a corresponding computer program product.

Abstract: A method for diagnosing a part of a powertrain system is provided. The powertrain system comprising an internal combustion engine system having an internal combustion engine provided with a plurality of cylinders, each cylinder being provided with an air inlet valve and an exhaust gas valve, the method comprising the steps of operating any one of the inlet valve and the exhaust valve for any one of the cylinders to adjust the frequency and/or duration of air pulses during different load conditions of the internal combustion engine; determining an operational behaviour of the part of the powertrain system in response to the adjusted frequency and/or duration of the air pulses; and comparing the determined operational behaviour of the part of the powertrain system with an expected behaviour of the part of the powertrain system.

Abstract: A computer implemented method for anomality detection at a first nitrogen oxide (NOx) sensor forming part of an exhaust gas aftertreatment system (EATS) is provided. The EATS is coupled downstream of an internal combustion engine (ICE). The disclosed methodology applies manipulation of the ICE for detecting such a possible anomality.

Abstract: The invention relates to a method for robust estimation of state of charge (SOC) for a battery cell (6) for an electric vehicle, the method comprising: measuring an output current (/m) from the battery cell; a temperature (Tm) of the battery cell; and an output voltage (y) from the battery cell; providing a SOC estimation model (M) for the battery cell comprising the measured current (/m) and the measured temperature (Tm) to provide an estimated output voltage (y); calculating the estimated output voltage (y) and an intermediate SOC value (SOCint) using the SOC estimation model (M); calculating a voltage difference between the estimated output voltage (y) and the measured voltage (y); estimating the SOC (SOC) for a battery cell by optimizing said SOC estimation model (M) based on the calculated voltage difference and the intermediate SOC value (SOCint).

Abstract: The invention relates to a method for determining the state of charge (SOC) of a chargeable battery pack (5) comprising at least one battery cell (5a, 5b, 5c), said method comprising the steps of: providing an initial state of charge value (SOC1) for said battery pack (5); estimating a battery cell voltage value (Vest) using a cell model (7b) based on input values representing at least a measured voltage (Vmeas) of said battery pack (5); comparing said estimated battery cell voltage value (Vest) with said measured battery cell voltage value (Vmeas) for said at least one battery cell (5a, 5b, 5c); and determining an estimated state of charge value (SOCest) to update the state of charge (SOC) from the initial state of charge value (SOC1), based on said comparing step and by using an observer module (7a). According to the invention, the observer module (7a) comprises an influence factor, said influence factor representing errors in the state of charge (SOC) based on the parameterization of said cell model (7b).

Abstract: The invention relates to a method (100) for estimating an operating parameter of a battery cell of a battery unit in an electrical propulsion system of a vehicle, the operating parameter being indicative of one of capacity and impedance of the battery cell, the method comprising: selecting (110) at least one battery cell in the battery unit for determining the operating parameter of the battery cell; providing (120) a set of state-of-charge (SOC) estimators, each SOC estimator having a selected operating parameter value for a given time period; and using (130) the set of SOC estimators to determine a value of the operating parameter of the battery cell by performing voltage error minimization.

Abstract: The invention relates to a method for balancing a battery pack (5) comprising a plurality of battery cells (5a, 5b, 5c) for an electric vehicle. The method comprises: determining the state of charge (SOC) for each of said battery cells (5a, 5b, 5c); receiving information related to the expected use of the electric vehicle to a prediction horizon; and determining a state of balance value (SOBc) at the current time and an expected state of balance value (SOBp) at the end of the prediction horizon. Furthermore, the method comprises balancing the battery cells (5a, 5b, 5c) based on the state of balance value (SOBc) at the current time and the expected state of balance value (SOBp) at the end of said prediction horizon, such that the state of balance (SOB) and the use of the cell balancing process is optimized so as to minimize the energy usage of the battery pack (5). The invention also relates to an arrangement for balancing a battery pack (5).

Abstract: A method is provided for determining a position of at least one actuator of an internal combustion engine arrangement, the method including the steps of: receiving parameter values for engine performance parameters of the internal combustion engine arrangement at a first point in time; predicting at least one engine performance parameter value at an at least one second, future point in time; and determining an actuator position for the at least one actuator by an optimization using the parameter values at the first point in time and at the at least one second point in time as input.

Abstract: The invention relates to a method for monitoring the status of a plurality of battery cells (C1-C5) in a battery pack (1), said method comprising: arranging said battery cells (C1-C5) in at least two groups (G1-G3) of cells; connecting said groups (G1-G3) of cells to a sensor unit (7b); and obtaining, by means of said sensor unit (7b), at least one sensor measurement (U1sens, U2sens, U3sens) for each group (G1-G3) which is indicative of the state of operation of said battery pack (7a). The method according to the invention further comprises: determining a cell measurement (U1cell, U2cell, . . . ) for each battery cell (C1-C5) by means of an over-determined equation system which defines said cell measurement (U1cell, U2cell, . . .

Abstract: A method is provided for monitoring the status of a plurality of battery cells in a battery pack the method including: arranging the battery cells in at least two groups of cells; connecting the groups of cells to a sensor unit; and obtaining, by means of the sensor unit, at least one sensor measurement for each group which is indicative of the state of operation of the battery pack. The method according to the invention further includes: determining a cell measurement for each battery cell by means of an over-determined equation system which defines the cell measurement as a function of the sensor measurement; and evaluating any residual terms resulting from the equation system in order to identify any battery cell having a cell measurement which deviates from an expected value based on the remaining battery cells. A battery management system for monitoring the status of a plurality of connected battery cells as mentioned above is also provided.

Abstract: A method for estimation of state of power for a battery for an electric vehicle is provided. The method comprising: measuring a temperature of the battery, and an output voltage from the battery; receiving a state of charge estimation based on a battery model; providing a SOP estimation model for the battery comprising the measured temperature and the measured output voltage. The method is characterized in that the SOP estimation model further comprises a parameter fault estimate for errors of the measured parameters and/or estimated parameters; and in that the method further comprises estimating the SOP based on the SOP estimation model for a battery.

Abstract: A method is provided for balancing a battery pack including a plurality of battery cells connected in series, wherein each battery cell is associated with a resistor which is connected in parallel with the battery cell and wherein each of the resistors is coupled in series with a controllable switch which is connected to a control unit. The method includes selectively closing and opening the switch so as to initiate discharging of the corresponding battery cell, thereby balancing the battery cell in relation to other cells of the battery pack.

Abstract: The invention relates to a method for robust estimation of state of charge (SOC) for a battery cell (6) for an electric vehicle, the method comprising: measuring an output current (/m) from the battery cell; a temperature (Tm) of the battery cell; and an N output voltage (y) from the battery cell; providing a SOC estimation model (M) for the battery cell comprising the measured current (/m) and the measured temperature (Tm) to provide an estimated output voltage (y); calculating the estimated output voltage (y) and an intermediate SOC value (SOCint) using the SOC estimation model (M); calculating a voltage difference between the estimated output voltage (y) and the measured voltage (y); estimating the SOC (SOC) for a battery cell by optimizing said SOC estimation model (M) based on the calculated voltage difference and the intermediate SOC value (SOCint).

Abstract: The invention relates to a method for balancing a battery pack (5) comprising a plurality of battery cells (5a, 5b, 5c) for an electric vehicle. The method comprises: determining the state of charge (SOC) for each of said battery cells (5a, 5b, 5c); receiving information related to the expected use of the electric vehicle to a prediction horizon; and determining a state of balance value (SOBc) at the current time and an expected state of balance value (SOBp) at the end of the prediction horizon. Furthermore, the method comprises balancing the battery cells (5a, 5b, 5c) based on the state of balance value (SOBc) at the current time and the expected state of balance value (SOBp) at the end of said prediction horizon, such that the state of balance (SOB) and the use of the cell balancing process is optimized so as to minimize the energy usage of the battery pack (5). The invention also relates to an arrangement for balancing a battery pack (5).

Abstract: The present disclosure relates to a method of estimating a charge state for a battery cell, specifically taking into account different operational states (402, 404, 406, 408) of the battery cell. The present disclosure also relates to a battery management arrangement (200) and to a corresponding computer program product.

Abstract: The invention relates to a method for determining the state of charge (SOC) of a chargeable battery pack (5) comprising at least one battery cell (5a, 5b, 5c), said method comprising the steps of: providing an initial state of charge value (SOC1) for said battery pack (5); estimating a battery cell voltage value (Vest) using a cell model (7b) based on input values representing at least a measured voltage (Vmeas) of said battery pack (5); comparing said estimated battery cell voltage value (Vest) with said measured battery cell voltage value (Vmeas) for said at least one battery cell (5a, 5b, 5c); and determining an estimated state of charge value (SOCest) to update the state of charge (SOC) from the initial state of charge value (SOC1), based on said comparing step and by using an observer module (7a). According to the invention, the observer module (7a) comprises an influence factor, said influence factor representing errors in the state of charge (SOC) based on the parameterization of said cell model (7b).

Abstract: A method is provided for determining a position of at least one actuator of an internal combustion engine arrangement, the method including the steps of: receiving parameter values for engine performance parameters of the internal combustion engine arrangement at a first point in time; predicting at least one engine performance parameter value at an at least one second, future point in time; and determining an actuator position for the at least one actuator by an optimization using the parameter values at the first point in time and at the at least one second point in time as input.