Charge state estimation method based on initial value optimization
A state of charge and initial value technology, applied in the field of SOC estimation of automotive power batteries, can solve problems such as low accuracy
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[0031] like figure 2 The model shown establishes the Kalman filter algorithm. Among them, E is the standard voltage source, R is the ohmic internal resistance, and U(up) is the polarization voltage.
[0032] S1. Initialize various parameters of the battery;
[0033] S2. Estimate the amount of charge accumulated by the battery in the previous stage of use due to the polarization effect, including:
[0034] At constant temperature:
[0035] Charging: power consumption = SOC increment + accumulated charge
[0036] which is Through the ΔSOC corresponding to different current values, we can get Different current values and α corresponding to different current values through matlab 1 (I) Fitting, get α 1 (I)=p 1 i 4 +p 2 i 3 +p 3 i 2 +p 4 i 1 +p 5 , α 1 (I) is the coefficient of charging efficiency about current;
[0037] Discharge: SOC reduction = power consumption + accumulated charge
[0038] which is Through the ΔSOC corresponding to different current...
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