Battery analysis system and method
A system or method for determining a battery state can include receiving a set of sensor measurements; determining the battery state using a state estimator collocated with the battery; and determining parameters used by the state estimator using a second state estimator operating on a processor remote from the battery.
1. A system configured to estimate a battery state of a battery comprising:
a sensor connected to the battery that measures sensor data comprising at least one of a voltage, current, or temperature of the battery;
a first processor collocated with the battery, wherein the first processor comprises a first state estimator configured to estimate the battery state using a model operating on the sensor data associated with the battery, wherein the first state estimator receives the sensor data from the sensor; and
a second processor operating on a cloud computing server, wherein the second processor comprises a second state estimator configured to, at a first frequency, estimate a set of parameters associated with the model based on a set of sensor data associated with a plurality of batteries, wherein the second processor transmits the set of parameters to the first state estimator; wherein the battery state is estimated at a second frequency that is greater than the first frequency.
2. The system of claim 1 , wherein the first state estimator comprises a look-up table and system of equations relating elements of the look-up table.
3. The system of claim 2 , wherein the second state estimator is configured to generate the look-up table and the system of equations based on at least one of battery constraints or processor constraints.
4. The system of claim 3 , wherein the at least one of battery constraints or processor constraints comprise at least one of a sensor sample rate, a processor computation limitation, a processor memory limitation, or a battery state performance requirement.
5. The system of claim 2 , wherein the second state estimator comprises an unscented Kalman filter.
6. The system of claim 5 , wherein estimating the set of parameters comprises updating elements of the look-up table.
7. The system of claim 1 , wherein the model comprises a parameterized model, wherein estimating the set of parameters comprises updating a parameterization of the parameterized model.
8. The system of claim 1 , wherein the plurality of batteries comprises the battery.
9. The system of claim 1 , wherein the first state estimator is configured to estimate a subset of parameters of the set of parameters.