Power battery system identification and state estimation method for wide sampling interval
A power battery and sampling interval technology, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve problems such as poor stability, unusable sensors, and large sensor sampling intervals, achieve strong stability, realize multi-scale estimation, Achieving Accurately Estimated Effects
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[0051] The present invention proposes a power battery system parameter identification and state estimation method for wide sampling intervals, such as figure 1 As shown, it specifically includes the following steps:
[0052] 1). Establishing a SOC-OCV curve, the OCV being the open circuit voltage of the system;
[0053] 2). Online data acquisition, real-time acquisition of voltage and current parameters of power battery cells;
[0054] 3). Establish the state space equation for parameter identification, use the online identification algorithm to update the parameter identification results in real time, and estimate the state of charge;
[0055] 4). When the sampling time k∈{1,2,...,∞}, use the OCV estimated value at time k-1 and the parameter vector estimated value at time k to obtain the current macro time of the power battery system The estimated value of OCV in the scale, based on the SOC-OCV curve, the estimated value of SOC in the current macro time scale of the power b...
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