Predicting a potential fault in a battery

A method for detecting a potential fault in a battery, said method comprising:

• monitoring statuses of said battery to generate status data indicative of said statuses;
• and
• determining, using a controller, whether said potential fault is present in said battery based on said status data and a plurality of machine-readable lookup tables stored in a non-transitory machine-readable storage medium, a lookup table of said lookup tables comprising a plurality of datasets corresponding to a plurality of time frames, and each dataset of said plurality of datasets comprising digital values of a plurality of parameters of said battery obtained in a corresponding time frame of said plurality of time frames,
• wherein said determining whether said potential fault is present in said battery comprises:
• obtaining, using said controller, a current dataset of said plurality of parameters based on said status data;
• searching said lookup table for a previous dataset that matches said current dataset;
• comparing a current value of a parameter in said current dataset and a previous value of said parameter in said previous dataset;
• determining whether said potential fault is present in said battery based on a result of said comparing;
• and
• updating said lookup table by adding said current dataset to said lookup table if, based on said result of said comparing, said controller determines that said potential fault is not present.

A battery pack, comprising:

• a battery;
• and
• a status detection system, coupled to said battery, configured to monitor statuses of said battery to generate status data indicative of said statuses, and determine whether a potential fault is present in said battery based on said status data and a plurality of machine-readable lookup tables stored in a non-transitory machine-readable storage medium, a lookup table of said lookup tables comprising a plurality of datasets corresponding to a plurality of time frames, and each dataset of said plurality of datasets comprising digital values of a plurality of parameters of said battery obtained in a corresponding time frame of said plurality of time frames,
• wherein said status detection system is further configured to obtain a current dataset of said plurality of parameters based on said status data, search said lookup table for a previous dataset that matches said current dataset, perform a comparison of a current value of a parameter in said current dataset and a previous value of said parameter in said previous dataset, determine whether said potential fault is present in said battery based on a result of said comparison, and update said lookup table by adding said current dataset to said lookup table if, based on said result of said comparison, said status detection system determines that said potential fault is not present.