A control device relates to a vehicle having an automatically opening and/or automatically closing lid with at least one control switch in the vicinity of the lid and with a programmable electronic control unit. The control switch may be operated arbitrarily contactlessly in the form of a proximity sensor and when operated generates an operation request signal which is an input signal to the control unit. The control unit is configured in such a manner that defined environmental conditions may be evaluated for the detection of a risk of salinity and humidity and that, given the presence of a risk of salt and water, an appropriate adaptation may be made to the evaluation of the operation request signal. Preferably, at least one outside temperature below a predefined threshold and information indicating the presence of moisture are defined as the environmental conditions to be evaluated for detecting the risk of salt and water.

A control device relates to a vehicle having an automatically opening and/or automatically closing lid with at least one control switch in the vicinity of the lid and with a programmable electronic control unit. The control switch may be operated arbitrarily contactlessly in the form of a proximity sensor and when operated generates an operation request signal which is an input signal to the control unit. The control unit is configured in such a manner that defined environmental conditions may be evaluated for the detection of a risk of salinity and humidity and that, given the presence of a risk of salt and water, an appropriate adaptation may be made to the evaluation of the operation request signal. Preferably, at least one outside temperature below a predefined threshold and information indicating the presence of moisture are defined as the environmental conditions to be evaluated for detecting the risk of salt and water.

The invention relates to a self-learning repetitive method for an electrical drive or motor, in particular a linear or slewing drive, for determining the maximum speed during the movement of the actuator between a starting point (SP) and an end point (EP), wherein the actuator is accelerated to a speed v.sub.max over a first distance (x.sub.beschl), is braked over a second distance (x.sub.brems) and is then moved at a safe low speed (v.sub.safe) over a third distance (x.sub.safe) as far as the stop and is stopped. The method is repeated with the aim of minimizing the third distance (x.sub.Safe,min) and thereby achieving the maximum speed (BPmax, v.sub.max). The method also provides for taking into account the external interfering influences, for example external forces and friction. The invention also relates to such an electrical drive.

The invention relates to a self-learning repetitive method for an electrical drive or motor, in particular a linear or slewing drive, for determining the maximum speed during the movement of the actuator between a starting point (SP) and an end point (EP), wherein the actuator is accelerated to a speed v.sub.max over a first distance (x.sub.beschl), is braked over a second distance (x.sub.brems) and is then moved at a safe low speed (v.sub.safe) over a third distance (x.sub.safe) as far as the stop and is stopped. The method is repeated with the aim of minimizing the third distance (x.sub.Safe,min) and thereby achieving the maximum speed (BPmax, v.sub.max). The method also provides for taking into account the external interfering influences, for example external forces and friction. The invention also relates to such an electrical drive.