View source for US Patent Application 17987950. SYSTEM AND METHOD FOR DIAGNOSING VEHICLE BATTERY BY USING BIG DATA simplified abstract

=SYSTEM AND METHOD FOR DIAGNOSING VEHICLE BATTERY BY USING BIG DATA=


==Organization Name==

[[Hyundai Motor Company]]


==Inventor(s)==

[[Hyun Jun Jang of Daegu (KR)]]

[[Byung Soo Park of Daejeon (KR)]]

[[Woo Sung Kim of Suwon-Si (KR)]]

[[Jae Shin Yi of Seoul (KR)]]

==SYSTEM AND METHOD FOR DIAGNOSING VEHICLE BATTERY BY USING BIG DATA - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17987950 titled 'SYSTEM AND METHOD FOR DIAGNOSING VEHICLE BATTERY BY USING BIG DATA

==Simplified Explanation==

The patent application proposes a system and method for diagnosing vehicle batteries using big data.
* Battery-related data from multiple vehicles is collected through communication.
* A learning process is used to derive a reference battery temperature distribution for each driving condition based on the collected data.
* The derived reference battery temperature distribution is used to analyze the current battery temperature distribution of a specific vehicle.
* The analysis helps diagnose whether the battery of the specific vehicle is abnormal.


==Original Abstract Submitted==

Proposed are system and method for diagnosing a vehicle battery by using big data. Battery-related data may be collected through communication from multiple vehicles. A reference battery temperature distribution for each driving condition may be derived by a learning process based on the battery-related big data. The derived reference battery temperature distribution may be used to analyze a current battery temperature distribution of a specific vehicle so as to diagnose whether the battery of the specific vehicle is abnormal.