Storage cell diagnostic device and storage cell diagnostic method, and storage cell control system

A storage battery diagnostic device, comprising:

• voltage detection circuitries configured to detect inter-terminal voltages of respective N storage batteries as N detected voltages, N being equal to or larger than 1;
• a data storage memory configured to store N+M pieces of time-series data, which include time-series data on the N storage batteries including time-series data on the detected voltages and time-series data including M detected voltages of storage batteries stored in a past;
• positive/negative electrode open-circuit voltage (“OCV”) model function generation circuitry configured to obtain OCV element functions that fit the time-series data on the detected voltages stored in the data storage memory, to thereby generate each of positive electrode OCV model function and negative electrode OCV model function corresponding to the N+M pieces of time-series data on the storage batteries based on the OCV element functions;
• storage battery model function parameter group estimation circuitry configured to generate, based on the positive electrode OCV model function and the negative electrode OCV model function, a storage battery model function corresponding to each of the N+M pieces of time-series data on the storage batteries, and to generate an evaluation function indicating an error between the time-series data stored in the data storage memory and time-series data on an estimation value calculated by using the storage battery model function, to thereby calculate such a group of estimation parameters of the N+M storage battery model functions corresponding to the respective N+M pieces of time-series data on the storage batteries as to minimize a value of the evaluation function;
• and
• current detection circuitries configured to detect respective charge/discharge currents of the N storage batteries as N detected currents,
• wherein the data storage memory includes:
• time-series electric quantity calculation circuitry configured to calculate time-series data on electric quantities of the N storage batteries based on the N detected currents detected by the current detection circuitries;
• voltage derivative data calculation circuitry configured to differentiate time-series data on the N detected voltages detected by the voltage detection circuitries by the time-series data on the electric quantities of the N storage batteries, to thereby calculate time-series voltage derivative data;
• and
• a time-series data storage memory configured to store N+M pieces of time-series data, which include:
• time-series data on the N storage batteries including time-series data on the detected currents, the time-series data on the detected voltages, the time-series data on the electric quantities, and the time-series voltage derivative data;
• and time-series data on M storage batteries stored in the past including time-series data on the detected currents, the time-series data on the detected voltages, the time-series data on the electric quantities, and the time-series voltage derivative data.

A storage battery diagnostic method, the storage battery diagnostic method comprising the steps of:

• detecting inter-terminal voltages of respective N storage batteries as N detected voltages, N being equal to or larger than 2;
• storing, into a memory, time-series data on the N storage batteries including time-series data on the detected voltages;
• and
• obtaining open-circuit voltage (“OCV”) element functions that fit the time-series data on the detected voltages stored in the memory, to thereby generate each of positive electrode OCV model function and negative electrode OCV model function corresponding to the N storage batteries by a sum of the OCV element functions;
• generating, based on the positive electrode OCV model function and the negative electrode OCV model function, a storage battery model function corresponding to each of the N storage batteries, and generating an evaluation function indicating an error between the time-series data stored in the memory and time-series data on estimation data calculated by using the storage battery model function, to thereby calculate such a group of estimation parameters of the N storage battery model functions corresponding to the respective N storage batteries as to minimize a value of the evaluation function;
• detecting respective charge/discharge currents of the N storage batteries as N detected currents;
• calculating time-series data on electric quantities of the N storage batteries based on the N detected currents which have been detected;
• differentiating the time-series data on the N detected voltages by the time-series data on the electric quantities of the N storage batteries, to thereby calculate time-series voltage derivative data;
• and
• storing time-series data on the N storage batteries including time-series data on the detected currents, the time-series data on the detected voltages, the time-series data on the electric quantities, and the time-series voltage derivative data,
• wherein the group of estimation parameters of the N storage battery model functions calculated in the step of calculating such a group of estimation parameters include:
• at least one of a group of parameters of the positive electrode OCV model function or a group of parameters of the negative electrode OCV model function, which are the same among the N storage batteries;
• and
• at least one of a group of capacity parameters including a positive electrode capacity retention rate, a negative electrode capacity retention rate, or an SOC shift amount between a positive electrode and a negative electrode, which are different among the N storage batteries, or
• the storage battery diagnostic method comprising the steps of:
• detecting inter-terminal voltages of respective N storage batteries as N detected voltages, N being equal to or larger than 1;
• storing, into a memory, N+M pieces of time-series data, which include:
• time-series data on the N storage batteries including time-series data on the detected voltages;
• and time-series data including M detected voltages of storage batteries stored in a past;
• and
• obtaining OCV element functions that fit the time-series data on the detected voltages stored in the memory, to thereby generate each of the positive electrode OCV model function and the negative electrode OCV model function corresponding to the N+M pieces of time-series data on the storage batteries based on the OCV element functions;
• generating, based on the positive electrode OCV model function and the negative electrode OCV model function, a storage battery model function corresponding to each of the N+M pieces of time-series data on the storage batteries, and generating an evaluation function indicating an error between the time-series data stored in the memory and time-series data on estimation data calculated by using the storage battery model function, to thereby calculate such a group of estimation parameters of the N+M storage battery model functions corresponding to the respective N+M pieces of time-series data on the storage batteries as to minimize a value of the evaluation function;
• detecting respective charge/discharge currents of the N storage batteries as N detected currents,
• calculating time-series data on electric quantities of the N storage batteries based on the N detected currents:
• differentiating time-series data on the N detected voltages detected by the time-series data on the electric quantities of the N storage batteries, to thereby calculate time-series voltage derivative data;
• and
• storing N+M pieces of time-series data, which include:
• time-series data on the N storage batteries including time-series data on the detected currents, the time-series data on the detected voltages, the time-series data on the electric quantities, and the time-series voltage derivative data;
• and time-series data on M storage batteries stored in the past including time-series data on the detected currents, the time-series data on the detected voltages, the time-series data on the electric quantities, and the time-series voltage derivative data.