Methods and systems for smart battery collection, sorting, and packaging
A method includes irradiating an energy storage device using an input radiation characterized by a first electromagnetic spectrum and detecting an output radiation reflected or backscattered by the energy storage device. The method also includes determining a second electromagnetic spectrum of the output radiation and comparing the second electromagnetic spectrum with a reference electromagnetic spectrum. The method further includes generating a sorting instruction based on comparison of the second electromagnetic spectrum with the reference electromagnetic spectrum.
1. A method, comprising:
irradiating an energy storage device using an input radiation characterized by a first electromagnetic spectrum;
detecting an output radiation reflected or backscattered by the energy storage device;
determining a second electromagnetic spectrum of the output radiation that is characteristic of a chemical composition;
comparing the second electromagnetic spectrum characteristic of a chemical composition with a reference electromagnetic spectrum to identify the chemical composition of the energy storage device; and
generating a sorting instruction via a machine learning classification model based on comparison of the second electromagnetic spectrum with the reference electromagnetic spectrum,
wherein generating the sorting instruction includes:
generating a first instruction to sort a plurality of energy storage devices into lithium-ion batteries (LIBs) and other batteries; and
generating a second instruction to sort the LIBs based on their cathode material chemistries.
2. The method of claim 1 , wherein the input radiation includes an X-ray radiation.
3. The method of claim 1 , wherein the output radiation is generated via an X-ray fluorescence (XRF) process.
4. The method of claim 1 , further comprising:
sorting the energy storage device based on the sorting instruction.
5. The method of claim 4 , further comprising packaging the energy storage device after sorting.
6. The method of claim 1 , further comprising:
measuring at least one physical attribute of the energy storage device via a physical sensing device, wherein generating the sorting instruction includes generating the sorting instruction based on: (1) the comparison of the second electromagnetic spectrum with the reference electromagnetic spectrum, and (2) comparison of the at least on physical attribute of the energy storage device with a reference physical attribute.
7. The method of claim 6 , wherein the physical sensing device includes a camera.
8. The method of claim 6 , wherein the physical sensing device includes a mass sensor.
9. The method of claim 1 , wherein generating the sorting instruction includes:
generating a first instruction to sort a plurality of energy storage devices into lithium ion batteries (LIBs) and other batteries; and
generating a second instruction to sort the LIBs.
10. A system, comprising:
a radiation source configured to irradiate an energy storage device using an input radiation characterized by a first electromagnetic spectrum;
a detector configured to detect an output radiation reflected or backscattered by the energy storage device; and
a compute device configured to:
determine a second electromagnetic spectrum of the output radiation that is characteristic of a chemical composition;
compare the second electromagnetic spectrum characteristic of a chemical composition with a reference electromagnetic spectrum to identify the chemical composition of the energy storage device; and
generate, using a machine learning classification model, an instruction to sort the energy storage device based on comparison of the second electromagnetic spectrum with the reference electromagnetic spectrum,
wherein the instruction to sort the energy storage device includes:
a first instruction to sort a plurality of energy storage devices into lithium ion batteries (LIBs) and other batteries; and
a second instruction to sort the LIBs based on their cathode material chemistries.
11. The system of claim 10 , wherein the radiation source includes an X-ray radiation source.
12. The system of claim 10 , wherein the radiation source and the detector form at least a portion of an X-ray fluorescence (XRF) spectrometer.
13. The system of claim 10 , further comprising:
a sorting device configured to receive the instruction and reroute the energy storage device based on the instruction.
14. The system of claim 13 , further comprising:
a packaging device, disposed after the sorting device, configured to package the energy storage device.
15. The system of claim 10 , further comprising:
a physical sensing device configured to measure at least one physical attribute of the energy storage device, wherein the compute device is configured to generate the instruction to sort the energy storage device based on: (1) the comparison of the second electromagnetic spectrum with the reference electromagnetic spectrum, and (2) comparison of the at least on physical attribute of the energy storage device with a reference physical attribute.
16. The system of claim 15 , wherein the physical sensing device includes a camera.
17. The system of claim 15 , wherein the physical sensing device includes a mass sensor.
18. The system of claim 15 , further comprising:
an inlet configured to receive the energy storage device, wherein the physical sensing device is operatively coupled to the inlet.
19. The system of claim 10 , wherein the instruction to sort the energy storage device includes a first instruction to sort a plurality of energy storage devices into lithium ion batteries (LIBs) and other batteries and a second instruction to sort the LIBs.