Avl List Gmbh

Kurt Gschweitl

Stefan Jakubek

Oliver König

Günter Prochart

Felix Pfister

Mathias Deiml

Mario Schweiger

Christian Schyr

Stephan Kunzfeld

Franck Le Rhun

Horst Pflügl

Horst Pfl&uuml;gl

Andreas Riel

Günther Frizberg

Gregor Gregorcic

Vipul Dhingra

The invention relates to a method for protecting a battery device (), in particular an electrode of the battery device (), having the following steps: determining at least one electrical battery parameter (EBP) of the battery device (), 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).

Method for protecting a battery device

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.

Method and device for testing electrical energy storing systems for driving vehicles

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.

Process and device for testing the powertrain of at least partially electrically driven vehicles

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.

Test bed for electrical energy storage systems for vehicles

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. The steps for determining the difference between the total output quantity of the associated partial model functions and a real value of the control value as well as the application of a further model and weighting function are executed as many times as needed until the statistically evaluated prediction quality of the overall model has reached a desired value.

Method for creating a non-linear, stationary or dynamic model of a control variable of a machine

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. In order to reach an assured optimal value for the system more rapidly and with lower expense, in a first stage the modification of the input quantities for the calculation and determination at the system takes place in an arbitrarily predetermined sequence, whereby for each input quantity an individual predetermined step size is not exceeded, and, after the predetermined sequence has been processed, the combination of input quantities that is closest to the optimal value is used as the starting point for the second stage.

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Eggersdorf, Austria

Kurt Gschweitl