Abstract: The invention relates to a method for protecting a battery device (100), in particular an electrode of the battery device (100), having the following steps: determining at least one electrical battery parameter (EBP) of the battery device (100), determining an operating parameter (BP) of an operating current (IB) of the battery device, calculating a disturbance parameter (SP) for a disturbance current (IS) on the basis of the operating parameter (BP), generating the disturbance current (IS), and applying the disturbance current (IS) to the operating current (IB).

Abstract: The invention relates to a method for checking a protection method for protecting a battery device (100), in particular an electrode of the battery device (100), comprising the following steps: monitoring at least one electrical battery parameter (EBP) of the battery device (100); monitoring at least one operating parameter (BP) of an operating current (IB) of the battery device (100); monitoring at least one disturbance parameter (SP) of a disturbance current (IS) of the battery device (100); comparing the monitored disturbance parameter (SF), the monitored operating parameter (BP) and/or the monitored battery parameter (EBP) with at least one comparison parameter (VP) based on the battery parameter (EBP) and/or on the operating parameter (BP).

Abstract: A method for testing electrical energy storage systems for driving vehicles provides that the load current of the energy storage system traces by means of a control loop, if possible without delay, a reference current that varies over time according to predetermined test cycles. The control loop is created by means of a model-based controller design method in which a model of the impedance of the energy storage system is integrated in the model of the controlled system.

Abstract: In a process for testing the powertrain of vehicles that are at least in part electrically driven, the voltage supplied to the powertrain is controlled by a controller coupled with a simulation system for the energy storage system in a way that the voltage acts dynamically as for a real energy storage system. The controller is designed with a model based controller design method, with a load model of the powertrain being used in the model of the controlled system.

Abstract: In a process for testing the powertrain of vehicles that are at least in part electrically driven, the voltage supplied to the powertrain is controlled by a controller coupled with a simulation system for the energy storage system in a way that the voltage acts dynamically as for a real energy storage system. The controller is designed with a model based controller design method, with a load model of the powertrain being used in the model of the controlled system.

Abstract: A method for testing electrical energy storage systems for driving vehicles provides that the load current of the energy storage system traces by means of a control loop, if possible without delay, a reference current that varies over time according to predetermined test cycles. The control loop is created by means of a model-based controller design method in which a model of the impedance of the energy storage system is integrated in the model of the controlled system.

Abstract: A test bed for an electrical energy storage system for vehicles includes a test system for conducting electrical tests of the energy storage system, optionally at least one conditioning unit for the climate control of the energy storage system, at least one data collection and analysis system, and optionally at least one safety system. In order to be able to test energy storage systems in a manner approximating their use as closely as possible in that all real influences on the energy storage system, for example, a traction battery for electric or hybrid vehicles, can be simulated with the simultaneous interaction of thermal, electrical, and mechanical influencing factors without the need to conduct tests in a real-world environment, at least one actuator is additionally provided for the mechanical stimulation of the energy storage system.

Abstract: A facility for forming lithium ion cells 1 preferably comprises an object support for the lithium ion cells 1 to be formed, and a forming system which contains an electrical circuit having an AD/DC converter unit 3, with multiple DC outputs 4, as needed, to which the lithium ion cells may be connected in an electrically conductive manner. To allow energy-optimized forming in this manner, a battery management system 6 is connected to each of the DC outputs 5, and is connectable to at least one lithium ion cell 1.

Abstract: A test bed for electrical energy storage systems for vehicles, in particular for traction batteries for hybrid electric vehicles, plug-in hybrid electric vehicles, and electric vehicles is equipped with a test system (3) for conducting electrical tests of the energy storage system (1), optionally at least one conditioning unit (4) for the climate control of the energy storage system (1), at least one data collection and analysis system, and optionally at least one safety system. In order to be able to test energy storage systems in a manner approximating their use as closely as possible in that all real influences on the energy storage system, for example, a traction battery for electric or hybrid vehicles, can be simulated with the simultaneous interaction of thermal, electrical, and mechanical influencing factors without the need to conduct tests in a real-world environment, at least one actuator (5) is additionally provided for the mechanical stimulation of the energy storage system (1).

Abstract: A method for creating a non-linear, stationary or dynamic overall model of a control variable of a combustion engine or partial systems thereof is based on simplified partial model functions that are used to determine in a weighted fashion at each desired operating point the total output quantities from the partial model function with an associated weighting function. The difference between the total output quantity and the real value is determined for all real operating points; and in areas of operating points with an absolute value of this difference that is above the preset value, a further model function with a further associated weighting function is used for which the absolute value of the difference stays below the preset value.

Abstract: A method for creating a non-linear, stationary or dynamic overall model of a control variable of a combustion engine or partial systems thereof, is based on simplified partial model functions that are used to determine in a weighted fashion at each desired operating point the total output quantities from the partial model function with an associated weighting function. The difference between the total output quantity and the real value is determined for all real operating points; and in areas of operating points with an absolute value of this difference that is above the preset value, a further model function with a further associated weighting function is used for which the absolute value of the difference stays below the preset value. To use such a method in order to arrive faster, i.e.

Abstract: A method for the automatic optimization of an output quantity of a system that is dependent on a plurality of input quantities (for example, an internal combustion engine) with maintenance of secondary conditions determines a theoretical value for the output quantity and for the secondary conditions on the basis of a respective model function having the input quantities as variables, and thereby respectively modifies, in successive individual steps, one of the input quantities within a variation space having a dimension corresponding to the number of input quantities, whereby values, corresponding to the respective input quantities, for the output quantity and for the secondary conditions are also determined directly at the system and are used for the correction of the model functions, until the model function has achieved its optimal value, satisfying the secondary conditions, for the output quantity.

Abstract: A method for the automatic optimization of an output quantity of a system that is dependent on a plurality of input quantities (for example, an internal combustion engine) with maintenance of secondary conditions determines a theoretical value for the output quantity and for the secondary conditions on the basis of a respective model function having the input quantities as variables, and thereby respectively modifies, in successive individual steps, one of the input quantities within a variation space having a dimension corresponding to the number of input quantities, whereby values, corresponding to the respective input quantities, for the output quantity and for the secondary conditions are also determined directly at the system and are used for the correction of the model functions, until the model function has achieved its optimal value, satisfying the secondary conditions, for the output quantity.