Battery analysis system and method
A system or method for determining a battery state can include generating a set of models based on a measured response of a plurality of batteries to an applied load, measuring battery properties of a battery, and using a state estimator to determine a battery state associated with a battery.
1. A method for estimating a battery state of a battery comprising:
generating a set of models based on a measured response of a plurality of batteries to applied loads, wherein each model of the set of models is associated with a different parameterization;
selecting a model from the set of models, wherein selecting the model comprises selecting a parameterization, wherein the model is selected based on at least one of:
an application in which the battery is used;
a battery property of the battery;
a target accuracy of the battery state; or
a processor bandwidth;
measuring at least one of a voltage, a current, a temperature, or a resistance of the battery using a sensor; and
determining the battery state using a state estimator running the selected model and the at least one of the voltage, the current, the temperature, or the resistance;
wherein the battery state comprises an anomaly state associated with a probability that an anomaly will occur during operation of the battery; wherein the state estimator determines the anomaly state using an anomaly model that is determined using machine learning techniques; wherein training data used by the machine learning techniques are determined using simulations of a test battery operating in anomalous conditions.
2. The method of claim 1 , wherein the temperature comprises an internal temperature, wherein the sensor comprises an electrochemical impedance spectroscopy sensor.
3. The method of claim 1 , further comprising validating the selected model.
4. The method of claim 3 , wherein the selected model is validated by comparing historic battery data for a validation battery to simulated battery data, generated using the selected model, for the validation battery.
5. The method of claim 1 , further comprising validating the state estimator.
6. The method of claim 5 , wherein the state estimator is validated by comparing validation battery data associated with a validation battery to a battery state determined by the state estimator using the selected model.
7. The method of claim 1 , wherein the selected model is parameterized as a function of one or more of: temperature, current, state of charge, state of health, or battery age.
8. The method of claim 7 , wherein each model of the set of models comprises at least one of: a unique parameterization or a unique parameter.
9. The method of claim 1 , wherein the model comprises at least one of a battery pack model comprising at least one of: a battery cell model for at least one battery cell of the battery, a pack geometry, an electrical components model, or a thermal transport model.
10. The method of claim 9 , wherein the battery cell model comprises at least one of: a heat generation model, a heat transport model, an equivalent circuit model, or an electrochemical model.