Abstract: The present invention relates to a method for locating at least one mobile radio subscriber in a mobile radio network, wherein to each transmitting station a value correlated with the receive field strength of a signal from this transmitting station is allocated; including the following steps: a) from the information determined upon connection setup, a table is created per cell, in which at least one distance parameter to the transmitting station of the cell is allocated to the respective receive field strengths; b) for at least one value correlated with the receive field strength and transmitted in the measurement report, the allocated distance parameter to the transmitting station of the respective cell is read out from the table created in step a); and c) determining at least one point satisfying the distance parameter(s) read-out in step b).

Abstract: The present invention relates to a method for locating at least one mobile radio subscriber in a mobile radio network, wherein to each transmitting station a value correlated with the receive field strength of a signal from this transmitting station is allocated; including the following steps: a) from the information determined upon connection setup, a table is created per cell, in which at least one distance parameter to the transmitting station of the cell is allocated to the respective receive field strengths; b) for at least one value correlated with the receive field strength and transmitted in the measurement report, the allocated distance parameter to the transmitting station of the respective cell is read out from the table created in step a); and c) determining at least one point satisfying the distance parameter(s) read-out in step b).

Abstract: The present invention discloses a method for predicting the voltage of a battery, in particular a vehicle battery. The method according to the invention makes it possible to predict a voltage drop before it actually occurs as a result of a load. For this purpose, a filtered battery voltage and a filtered battery current are first of all determined from battery data, such as the battery voltage, the battery current, the battery temperature and the dynamic internal resistance. The resistive voltage drop across the dynamic internal resistance is determined from the difference current between the filtered battery current and the predetermined load current. Furthermore, a polarization voltage is calculated as a function of the filtered battery current, and is then filtered. The predicted battery voltage is calculated from the filtered battery voltage, minus the resistive voltage drop and the filtered polarization voltage. A decision on further measures can be made on the basis of this predicted battery voltage.

Abstract: The present invention discloses a method for predicting the voltage of a battery, in particular a vehicle battery. The method according to the invention makes it possible to predict a voltage drop before it actually occurs as a result of a load. For this purpose, a filtered battery voltage and a filtered battery current are first of all determined from battery data, such as the battery voltage, the battery current, the battery temperature and the dynamic internal resistance. The resistive voltage drop across the dynamic internal resistance is determined from the difference current between the filtered battery current and the predetermined load current. Furthermore, a polarization voltage is calculated as a function of the filtered battery current, and is then filtered. The predicted battery voltage is calculated from the filtered battery voltage, minus the resistive voltage drop and the filtered polarization voltage. A decision on further measures can be made on the basis of this predicted battery voltage.