METHOD, COMPUTER-IMPLEMENTED TOOL AND BATTERY MANAGEMENT SYSTEM FOR ESTIMATING STATES OF HEALTH OF BATTERIES STORING ELECTRICAL ENERGY AND BATTERY ENERGY STORAGE SYSTEM

摘要

In order to estimate states of health of batteries storing electrical energy significantly indicated by battery capacity and battery internal resistance, by which the estimation of states of health of batteries, deteriorated over time usage, is automated and carried out without a need of any specific test such as a capacity test and the usage of data out of normal operation, it is proposed tocollect data (MDDC,ti, MDDV,ti, MDT,ti) from normal operation of a battery (B) storing electrical energy relating to battery-internal physical properties (PP) such as a terminal direct current IDC, a terminal direct voltage UDV and a battery cell temperature T due to battery measurements (BME) and- the determination or estimation, based on this data (MDDC,ti, MDDV,ti, MDT,ti) and a battery model (BMO, ECMO) , of a model parameter (ztp) by solving an optimization-/model parameter estimation-problem and minimizing a difference between the battery model (BMO, ECMO) and the battery measurements (BME).;The estimation/determination of the model parameter is executed based or performed on batches of data during a time period (tp) in which the battery aging is negligible, e.g. duration of one day up to one week. By repeating the estimation over the lifetime, e.g. over numerous time periods (tp) with constant or variable time durations, a state-of-heath degradation can be monitored. The used battery model relates different battery parameters, technical features to battery internal states and the different measurable physical properties.