Battery Diagnosis Table Updates With Server Misdiagnosis Checks
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Solution Overview
Problem
Current battery diagnosing systems face challenges in accurately diagnosing battery state information due to limitations in updating diagnosis tables and storing diagnosis codes, leading to potential misdiagnosis and loss of data in case of memory damage.
Innovation Solution
A battery diagnosing system and method that updates a diagnosis table through communication between a central server and a battery diagnosing apparatus, allowing for accurate diagnosis code generation and backup of battery state information, enabling misdiagnosis determination and table updates to improve diagnostic accuracy and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If only internal memory is used to store diagnosis codes and battery state information, then the device complexity is reduced, but the reliability deteriorates due to potential data loss from memory damage
Solution Approach 1:
The patent introduces an external server as an intermediary to store backup diagnosis codes and battery state information. The server acts as a mediator between multiple diagnosing apparatuses and provides centralized data storage, eliminating the need for each apparatus to maintain complex local backup systems while ensuring data reliability through remote storage.
Solution Approach 2:
The patent merges the storage function of diagnosis data from multiple individual apparatuses into a centralized server. By combining storage resources and data management at the server level, the system reduces overall device complexity while improving reliability through redundant storage and centralized access.
2Device complexity
If the diagnosis table is not updated, then the device complexity is reduced, but the measurement precision deteriorates leading to misdiagnosis
Solution Approach 1:
The patent implements a feedback mechanism where the server receives diagnosis results from apparatuses, validates them against the updated diagnosis table, and returns corrections when misdiagnosis is detected. This feedback loop ensures measurement precision is maintained without requiring each apparatus to independently manage complex update protocols.
Solution Approach 2:
The server performs preliminary validation of diagnosis codes against the diagnosis table before returning results to apparatuses. By pre-checking and validating data centrally, the system ensures measurement precision without adding complexity to individual apparatuses, as the validation logic resides in the server.
3Device complexity
If diagnosis data is not backed up externally, then the device complexity is reduced, but the loss of information increases in case of apparatus damage
Solution Approach 1:
The server serves as an intermediary backup storage system, receiving and storing diagnosis codes and battery state information from multiple apparatuses. This external intermediary prevents information loss when individual apparatuses are damaged, while avoiding the need for each apparatus to implement complex local backup solutions.
Data Source
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AI summary
The present disclosure is directed to providing a battery diagnosing system and method, which updates a diagnosis table of a battery diagnosing apparatus by communication between a central server and the battery diagnosing apparatus, and stores battery state information and a diagnosis code as a backup. According to an aspect of the present disclosure, since the diagnosis table stored in the battery diagnosing apparatus may be updated to a latest state, the battery state may be diagnosed more accurately. In addition, according to an aspect of the present disclosure, since the central server determines whether the diagnosis code generated by the battery diagnosing apparatus is misdiagnosed, the battery state may be diagnosed more accurately and reliably.