VR-based simulation method and device for secondary battery production

A virtual reality (VR)-based simulation method for secondary battery production performed by at least one processor, comprising:

• receiving a gaze direction and gaze location of a user identified from a head mounted display (HMD);
• displaying content associated with a secondary battery production apparatus corresponding to the received gaze direction and gaze location on an area of a display of the HMD;
• obtaining user behavior information indicating a motion of the user determined from at least one of the HMD or a controller associated with the HMD;
• executing the content associated with the secondary battery production apparatus based on the obtained user behavior information;
• accessing a human machine interface (HMI) included in the content by the user;
• and
• changing or adjusting one or more parameters included in the HMI by the user,
• wherein an operation of the secondary battery production apparatus is adaptively changed by the changing or adjustment of the one or more parameters included in the HMI;
• determining one or more training scenarios among a plurality of training scenarios associated with the secondary battery production apparatus;
• and
• changing the content associated with the secondary battery production apparatus based on the determined one or more training scenarios,
• wherein the plurality of training scenarios comprise a screening scenario for screening defective materials, and
• wherein the method further comprises:
• when the determined one or more training scenarios comprise the screening scenario, obtaining first user behavior information for extracting a mono-cell from a stacked cell generated by the secondary battery production apparatus, for measuring an insulation resistance of the extracted mono-cell, for performing an electrode surface condition inspection, and for measuring a gap between an electrode and a separator and whether a shoulder line is defective;
• and
• determining whether the screening scenario is completed based on the obtained first user behavior information.

A non-transitory computer-readable medium storing instructions for executing a virtual reality (VR)-based simulation method for secondary battery production, the instructions, when executed by one or more processors, causing the one or more processors to perform operations comprising:

• receiving a gaze direction and gaze location of a user identified from a head mounted display (HMD);
• displaying content associated with a secondary battery production apparatus corresponding to the received gaze direction and gaze location on an area of a display of the HMD;
• obtaining user behavior information indicating a motion of the user determined from at least one of the HMD or a controller associated with the HMD;
• executing the content associated with the secondary battery production apparatus based on the obtained user behavior information;
• accessing a human machine interface (HMI) included in the content by the user;
• and
• changing or adjusting one or more parameters included in the HMI by the user,
• wherein an operation of the secondary battery production apparatus is adaptively changed by the changing or adjustment of the one or more parameters included in the HMI;
• determining one or more training scenarios among a plurality of training scenarios associated with the secondary battery production apparatus;
• and
• changing the content associated with the secondary battery production apparatus based on the determined one or more training scenarios,
• wherein the plurality of training scenarios comprise a screening scenario for screening defective materials, and
• wherein the method further comprises:
• when the determined one or more training scenarios comprise the screening scenario, obtaining user behavior information for extracting a mono-cell from a stacked cell generated by the secondary battery production apparatus, for measuring an insulation resistance of the extracted mono-cell, for performing an electrode surface condition inspection, and for measuring a gap between an electrode and a separator and whether a shoulder line is defective;
• and
• determining whether the screening scenario is completed based on the obtained user behavior information.