Battery model parameter estimation method and device
A parameter estimation and battery model technology, applied in the direction of measuring devices, measuring electricity, measuring electrical variables, etc., can solve the problems that the Thevenin model parameters cannot be obtained quickly, and the ideal environment cannot be provided, so as to achieve fast model parameter estimation and improve calculation speed and recognition speed, the effect of improving the recognition speed
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Embodiment 1
[0034] Such as figure 1 with figure 2 As shown, Embodiment 1 of the present invention discloses a battery model parameter estimation method, which includes the following steps: establishing the Thevenin model of the battery to be estimated; determining the terminal voltage U, current I, and ohmic voltage of the battery R drop Ω I and polarization voltage U p;According to Thevenin model, based on battery terminal voltage U, current I, ohmic voltage drop R Ω I and polarization voltage U p To establish a relational expression; carry out discrete operation and transformation operation on the relational expression to obtain a transformation expression, and the transformation expression has a parameter θ to be estimated; use the identification algorithm to perform parameter estimation on the parameter θ to be estimated, so as to obtain the estimated value of the parameter θ to be estimated; based on The estimated value of the parameter θ to be estimated is used to obtain the es...
Embodiment 2
[0055] Such as image 3 As shown, Embodiment 2 of the present invention provides a device for estimating battery model parameters, including: an establishment module for establishing the Thevenin model of the battery to be estimated; a determination module for determining the terminal voltage U, current I, and ohmic voltage of the battery R drop Ω I and polarization voltage U p ;Equation module for terminal voltage U, current I, ohmic voltage drop R of the battery based on the Thevenin model Ω I and polarization voltage U p To establish a relational expression; the calculation module is used to perform discrete operations and transformation operations on the relational expression to obtain a transformation expression, and the transformation expression has a parameter θ to be estimated; the identification module is used to estimate the parameter θ to be estimated through the identification algorithm, so as to obtain Obtain the estimated value of the parameter θ to be estimat...
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