Estimation and compensation of battery measurement and asynchronization biases
A hybrid or electric vehicle includes a traction battery to store and provide energy for the vehicle. The traction battery includes a number of battery cells. For effective operation of the traction battery, operating parameters, such as state of charge and battery power limits, may need to be known. The operating parameters may be a function of battery cell voltage and impedance parameters. A parameter estimation scheme may use measured cell voltages and a measured traction battery current as inputs. A current measurement bias may be modeled that incorporates measurement bias caused by asynchronous current and voltage measurements. The current measurement bias may be estimated for each cell and the value may differ between cells.
1. A vehicle comprising:
a traction battery including a plurality of cells; and
at least one controller programmed to implement a state estimator configured to estimate, for each cell, a current measurement bias specific to the cell that depends on a temporal difference between current and voltage measurements for the cell, and operate the traction battery according to a state of charge derived from voltage parameters that are based on the current measurement bias.
2. The vehicle of claim 1 wherein the at least one controller is further programmed to control the traction battery according to battery power limits defined by output of the state estimator.
3. The vehicle of claim 1 wherein at least some of the current measurement biases have different values.
4. The vehicle of claim 1 wherein the voltage parameters include an open circuit voltage for the cell.
5. The vehicle of claim 1 wherein the state estimator is further configured to output, for each cell, impedance parameters based on the current measurement bias specific to the cell.
6. The vehicle of claim 5 wherein the impedance parameters include a resistance associated with the cell.
7. The vehicle of claim 1 wherein the state estimator is further configured to apply a forgetting factor to the current measurement bias.