Systems and methods for state of health assessment in rechargeable batteries

A system comprising:

• a memory device storing instructions;
• and
• a processing device communicatively coupled to the memory device, wherein the processing device executes the instructions to:
• based on at least a received first state of health of a battery pack and an initial state of charge of the battery pack, determine, by a state of charge estimator of a digital twin battery model, one or more states of charges for the battery pack, wherein the initial state of charge is determined using coulomb counting by reversing charge cycle data such that a rest period before a charging cycle is changed to be longer than a rest period after the charging cycle on a current graph;
• based on the one or more states of charges for the battery pack, determine, by a voltage predictor of the digital twin battery model, one or more predicted battery voltages;
• based on the one or more predicted battery voltages, determine, by a state of charge corrector of the digital twin battery model, a voltage difference between the one or more predicted battery voltages and one or more measured voltages;
• based on the voltage difference, correct, by the state of charge corrector, the one or more states of charges to generate one or more corrected states of charges for the battery pack;
• and
• based at least on the one or more corrected states of charges for the battery pack, determining a second state of health of the battery pack;
• and
• based at least on the second state of health of the battery pack, control operation of the battery pack by modifying an operating parameter of a vehicle associated with the battery pack such that the vehicle consumes less energy from the battery pack.

A tangible, non-transitory computer-readable medium storing instructions that, when executed, cause a processing device to:

• based on at least a received first state of health of a battery pack and an initial state of charge of the battery pack, determine, by a state of charge estimator of a digital twin battery model, one or more states of charges for the battery pack, wherein the initial state of charge is determined using coulomb counting by reversing charge cycle data such that a rest period before a charging cycle is changed to be longer than a rest period after the charging cycle on a current graph;
• based on the one or more states of charges for the battery pack, determine, by a voltage predictor of the digital twin battery model, one or more predicted battery voltages;
• based on the one or more predicted battery voltages, determine, by a state of charge corrector of the digital twin battery model, a voltage difference between the one or more predicted battery voltages and one or more measured voltages;
• based on the voltage difference, correct, by the state of charge corrector, the one or more states of charges to generate one or more corrected states of charges for the battery pack;
• and
• based at least on the one or more corrected states of charges for the battery pack, determining a second state of health of the battery pack;
• and
• based at least on the second state of health of the battery pack, control operation of the battery pack by modifying an operating parameter of a vehicle associated with the battery pack such that the vehicle consumes less energy from the battery pack.

A device comprising:

• a memory device storing instructions;
• and
• a processing device communicatively coupled to the memory device, wherein the processing device executes the instructions to:
• based on at least a received first state of health of a battery pack and an initial state of charge of the battery pack, determine, by a state of charge estimator of a digital twin battery model, one or more states of charges for the battery pack, wherein the initial state of charge is determined using coulomb counting by reversing charge cycle data such that a rest period before a charging cycle is changed to be longer than a rest period after the charging cycle on a current graph;
• based on the one or more states of charges for the battery pack, determine, by a voltage predictor of the digital twin battery model, one or more predicted battery voltages;
• based on the one or more predicted battery voltages, determine, by a state of charge corrector of the digital twin battery model, a voltage difference between the one or more predicted battery voltages and one or more measured voltages;
• based on the voltage difference, correct, by the state of charge corrector, the one or more states of charges to generate one or more corrected states of charges for the battery pack;
• and
• based at least on the one or more corrected states of charges for the battery pack, determining a second state of health of the battery pack;
• and
• based at least on the second state of health of the battery pack, control operation of the battery pack by modifying an operating parameter of a vehicle associated with the battery pack such that the vehicle consumes less energy from the battery pack.