Abstract: A method includes: determining a state of health of each of the electrical energy storage packs; detecting at least one malfunctioning electrical energy storage pack of the electrical energy storage system; determining an uncertainty measure for each of the determined state of health's; concluding to replace the electrical energy storage packs having state of health lower than a minimum state of health, and electrical energy storage packs that are concluded to be malfunctioning, evaluating the determined state of health's and the corresponding uncertainties for maintained electrical energy storage packs and a set of replacement electrical energy storage packs to find a combination of maintained electrical energy storage packs and replacement electrical energy storage packs that fulfil energy and power requirements for the vehicle taking the uncertainties in state of health into account; determining a new configuration of the electrical energy storage system including the combination of maintained electrical e

Abstract: A method for determining an electrical energy storage pack replacement configuration of a propulsion electrical energy storage of a vehicle, the method includes: classifying a vehicle usage type using vehicle driving pattern data of the vehicle as input data; determining a minimum state of health required for usage according to the classified vehicle usage type; determining a state of health of each of the electrical energy storage packs of the vehicle; concluding a replacement of the electrical energy storage packs having state of health lower than the minimum state of health; determining a load distribution between electrical energy storage packs after reconfiguration including replacement electrical energy storage packs and maintained electrical energy storage packs; and once electrical energy storage pack replacement is performed, determining a load sharing factor indicative of a load distribution between the electrical energy storage packs, and depending on the outcome of comparing the load sharing facto

Abstract: A method for estimating a capacity of a battery unit in an energy storage system of a vehicle is provided. The method includes during at least a first no-load condition of the battery unit, measuring a terminal voltage of the battery unit at a number of points in time to determine a transient voltage response of the battery unit, from the transient voltage response of the battery unit during at least the first no-load condition, estimating at least a first value of an open circuit voltage of the battery unit by means of a battery model, and estimating the capacity of the battery unit based on at least the estimated at least first value of the open circuit voltage.

Abstract: A method for controlling cooling of a traction battery in an electric vehicle where the method comprises determining a battery temperature profile for a segment of a planned route based on route information describing a route from a starting point to a destination and based on a current battery status and determining a battery cooling profile for the segment of the route based on the battery temperature profile. By means of the route information and the state of the battery, the battery cooling profile can be determined in order to minimize the power required for cooling the battery. Since the route information can provide information relating to a range of parameters which influence the power consumption along the route, the cooling needs of the battery can also be estimated for the route as a whole.

Abstract: A system and a method are for estimating an operating parameter value of an energy storage device arranged to provide power for propulsion for an electric or hybrid vehicle. In an embodiment, the method includes determining a first operating parameter value of the energy storage device at a first time; establishing a reference operating parameter value from pre-determined experimental data relating the operating parameter to a time related parameter; and based on the reference operating parameter value and the first operating parameter value, recursively calculating a second operating parameter value of the energy storage device at a second time subsequent to the first time. The recursive calculation includes a tuning parameter for modifying a portion of the reference operating parameter value to be included in the second operating parameter value.

Abstract: A method for controlling cooling of a traction battery in an electric vehicle where the method comprises determining a battery temperature profile for a segment of a planned route based on route information describing a route from a starting point to a destination and based on a current battery status and determining a battery cooling profile for the segment of the route based on the battery temperature profile. By means of the route information and the state of the battery, the battery cooling profile can be determined in order to minimize the power required for cooling the battery. Since the route information can provide information relating to a range of parameters which influence the power consumption along the route, the cooling needs of the battery can also be estimated for the route as a whole.

Abstract: A method and a system are disclosed for determining a parameter map used for estimating an operation condition for an energy storage device which may be an energy storage device. The method includes updating the parameter map. When updating the parameter map, a correlation model is implemented taking into account aging behavior of the energy storage device. The model comprises correlation between different parts of the parameter map which enables updating the parameter map at parts which is presently not at a current operating point. Based on the parameter map, an operation condition of the energy storage device may be determined.

Abstract: A method and a system are provided for determining a maximum charge current or a maximum discharge current of an energy storage cell of an energy storage device. The method includes providing a predetermined upper voltage limit or lower voltage limit, and providing a time horizon as a time difference from a present time to a future time. The method also include, with a repetition time period different from the time horizon, repeating measuring a present voltage level of the energy storage cell, calculating a voltage difference between the present voltage level and the upper voltage limit or the lower voltage limit, and determining the maximum charge current or maximum discharge current corresponding to the voltage difference and a model, such that the estimated voltage is within the voltage limits.

Abstract: A system and a method are for estimating an operating parameter value of an energy storage device arranged to provide power for propulsion for an electric or hybrid vehicle. In an embodiment, the method includes determining a first operating parameter value of the energy storage device at a first time; establishing a reference operating parameter value from pre-determined experimental data relating the operating parameter to a time related parameter; and based on the reference operating parameter value and the first operating parameter value, recursively calculating a second operating parameter value of the energy storage device at a second time subsequent to the first time. The recursive calculation includes a tuning parameter for modifying a portion of the reference operating parameter value to be included in the second operating parameter value.

Abstract: A method and a system are provided for determining a maximum charge current or a maximum discharge current of an energy storage cell of an energy storage device. The method includes providing a predetermined upper voltage limit or lower voltage limit, and providing a time horizon as a time difference from a present time to a future time. The method also include, with a repetition time period different from the time horizon, repeating measuring a present voltage level of the energy storage cell, calculating a voltage difference between the present voltage level and the upper voltage limit or the lower voltage limit, and determining the maximum charge current or maximum discharge current corresponding to the voltage difference and a model, such that the estimated voltage is within the voltage limits.

Abstract: A method and a system are disclosed for determining a parameter map used for estimating an operation condition for an energy storage device which may be an energy storage device. The method includes updating the parameter map. When updating the parameter map, a correlation model is implemented taking into account aging behavior of the energy storage device. The model comprises correlation between different parts of the parameter map which enables updating the parameter map at parts which is presently not at a current operating point. Based on the parameter map, an operation condition of the energy storage device may be determined.