Monitoring device, monitoring method, computer program, deterioration determination method, deterioration determination device, and deterioration determination system
A monitoring device includes: an acquisition unit configured to acquire information regarding whether a learning model is in a first mode or in a second mode, the learning model configured to detect a state of an energy storage device; and a change unit configured to change an operation of a balancer circuit from a predetermined state in a case where the learning model is in the first mode, the balancer circuit configured to balance a voltage of the energy storage device.
1. A monitoring device configured to monitor an energy storage device, the monitoring device comprising:
an acquisition unit configured to acquire information regarding whether a learning model is in a first mode or in a second mode, the learning model configured to detect a state of the energy storage device; and
a change unit configured to change an operation of a balancer circuit from a predetermined state in a case where the learning model is in the first mode, the balancer circuit configured to balance a voltage of the energy storage device,
wherein the first mode comprises a learning mode, and the second mode comprises a detection mode.
2. The monitoring device according to claim 1 , wherein in the case where the learning model is in the first mode, the change unit changes a threshold voltage to a larger value, the threshold voltage configured to cause the balancer circuit to balance the voltage.
3. The monitoring device according to claim 1 , wherein in the case where the learning model is in the first mode, the change unit changes the operation of the balancer circuit to a stopped state.
4. The monitoring device according to claim 1 , wherein in the case where the learning model is in the first mode, the change unit causes one of a plurality of energy storage cells to discharge in order to increase a voltage difference between the plurality of energy storage cells.
5. The monitoring device according to claim 1 , wherein in a case where the learning model is in the second mode, the change unit causes the balancer circuit to operate in the predetermined state.
6. The monitoring device according to claim 1 , wherein in a case where the learning model is in the second mode, the change unit changes the operation of the balancer circuit from the predetermined state.
7. The monitoring device according to claim 1 , wherein the acquisition unit acquires from a server the information regarding whether the learning model is in the first mode or in the second mode.
8. The monitoring device according to claim 1 , wherein the second mode comprises the detection mode to detect a state of the energy storage device based on the learning model that has learned.
9. The monitoring device according to claim 1 , wherein the balancer circuit further comprises a series circuit of a resistor and a switch connected in parallel for each one of a plurality of energy storage cells of the energy storage device.
10. The monitoring device according to claim 9 , wherein the voltages of the energy storage device are balanced via a plurality of the switches and a plurality of the resistors according to a determined maximum voltage and a minimum voltage from among the plurality of energy storage cells of the energy storage device.
11. The monitoring device according to claim 9 , wherein when a voltage difference between a maximum voltage and a minimum voltage of among respective voltages of the plurality of energy storage cells is equal to or more than a threshold voltage, the switch connected in parallel to an energy storage cell, from among the plurality of energy storage cells, exhibiting the maximum voltage is turned on, to cause the energy storage cell exhibiting the maximum voltage to discharge via the resistor to balance the voltages of the energy storage device.
12. The monitoring device according to claim 9 , wherein the switch comprises a transistor or a relay.
13. A monitoring method configured to monitor an energy storage device, the monitoring method comprising:
acquiring information regarding whether a learning model is in a first mode or in a second mode, the learning model configured to detect a state of the energy storage device; and
changing an operation of a balancer circuit from a predetermined state in a case where the learning model is in the first mode, the balancer circuit configured to balance a voltage of the energy storage device,
wherein the first mode comprises a learning mode, and the second mode comprises a detection mode.
14. The monitoring method according to claim 13 ,
wherein the detection mode detects a state of the energy storage device based on the learning model that has learned, and
wherein the balancer circuit further comprises a series circuit of a resistor and a switch connected in parallel for each one of a plurality of energy storage cells of the energy storage device.
15. The monitoring method to claim 14 , wherein when a voltage difference between a maximum voltage and a minimum voltage of among respective voltages of a plurality of energy storage cells is equal to or more than a threshold voltage, the switch connected in parallel to a energy storage cell, from among the plurality of energy storage cells, exhibiting the maximum voltage is turned on, to cause the energy storage cell exhibiting the maximum voltage to discharge via the resistor to balance the voltages of the energy storage device.
16. A computer program, stored in a non-transitory computer readable medium, configured to cause a computer to cause a learning model regarding an energy storage device to learn, wherein the computer executes:
acquiring information regarding whether the learning model is in a first mode or in a second mode;
changing an operation of a balancer circuit from a predetermined state in a case where the learning model is in the first mode, the balancer circuit configured to balance a voltage of the energy storage device; and
acquiring input data, including at least one of a voltage, a current, a temperature, and a state of charge (SOC) of the energy storage device, to provide the input data to the learning model,
wherein the first mode comprises a learning mode, and the second mode comprises a detection mode.
17. The computer program according to claim 16 , wherein the computer further executes in the case where the learning model is in the first mode, acquiring the input data to provide the input data to the learning model while leaving the operation of the balancer circuit in the predetermined state.
18. A computer program, stored in the non-transitory computer readable medium, configured to cause a computer to detect a state of an energy storage device, wherein the computer executes:
inputting input data, including at least one of a voltage, a current, a temperature, and a state of charge (SOC) of the energy storage device, to a learning model that has learned based on the computer program according to claim 16 , and
detecting the state of the energy storage device.
19. The computer program according to claim 16 ,
wherein the detection mode detects a state of the energy storage device based on the learning model that has learned,
wherein the balancer circuit further comprises a series circuit of a resistor and a switch connected in parallel for each one of a plurality of energy storage cells of the energy storage device, and
wherein the voltages of the energy storage device are balanced via a plurality of the switches and a plurality of the resistors according to a determined maximum voltage and a minimum voltage from among the plurality of energy storage cells of the energy storage device.