Abstract— This contribution address

Abstract— This contribution addresses the electrochemicalvoltage drift of electromagnetic flowmeters. We will extend theconventional discrete time alternating field method to continuousoperation. A Kalman filter, based on a state space model ofthe sensor, will be developed to separate the flow-proportionalsignal from the noisy voltage drift of the electrodes. The newalgorithm facilitates the processing of flow information rarelyused today, i.e., longer intervals of the electrode voltage duringtimes of stable magnetic field. The actually processed timeinterval of the electrode signal will be extended considerably.Thereby, a lower energy consumption and an increased accuracycan be achieved. The measurement error of the new methodwill be demonstrated to be less addicted to temporal flowvariations. Measurements show a similar accuracy, but with asignificantly reduced energy demand. A prototype with a fieldoffset provided by permanent magnets is set up to evaluate itsenergy consumption. Offline signal processing predicts an 80%lower power demand compared to conventional flowmeters.