LG Energy Solution announced that it is venturing into the battery safety diagnostics software business. With interest in the safety of EVs at an all-time high, the company has decided to explore new business opportunities and provide the best customer value not only in battery manufacturing but also in BMS (Battery Management System) solutions, promoting the safe use of batteries.
- Safety diagnostics software detects battery defects with an accuracy rate of over 90%
LG Energy Solution boasts unrivaled technological leadership in the battery safety diagnosis sector with its BMS design capabilities and empirical battery data gathered over 20 years.
With over 8,000 BMS-related patents, the company has developed a safety diagnostics software based on empirical data obtained by disassembling and analyzing more than 130,000 battery cells and 1,000 battery modules. This reliable software has already been applied to more than 100,000 EVs, recording an impressive detection accuracy rate of more than 90%.
Based on its leading technological prowess, LG Energy Solution’s safety diagnostics software analyzes various battery defects including voltage drop during charging, battery tab failure, micro internal short circuit, abnormal degradation, abnormal discharge, deviation in specific cell capacity, and excessive lithium precipitation.
Until now, most battery diagnostics software solutions were based on technologies developed by predicting virtual conditions, leading to low accuracy when applied in real environments.
- Software preemptively detects abnormal signs that could lead to potential future issues
The growing interest in the safe use of EVs highlights the importance of developing a sophisticated battery condition management, prompting automakers to pay more attention to the BMS’ ability to effectively measure and analyze battery information and detect various problems in advance.
LG Energy Solution’s safety diagnostics software, which will be mounted on the automotive BMS, will provide functions that preemptively diagnose various battery abnormalities. In fact, it is already being applied to vehicles from nine global automakers.
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Based on a safety diagnosis detection accuracy rate of over 90%, the software can detect and alert abnormal signs indicating potential future issues, such as thermal incidents, in advance, ensuring driver safety and peace of mind. In addition, LG Energy Solution’s software is receiving attention for its compatibility with EVs equipped with batteries from other manufacturers.
LG Energy Solution has decided to expand its safety diagnostics software business in collaboration with global automakers based on its proven safety diagnosis accuracy and accumulated technological prowess.
“Although automakers are starting to shift their attention to safety diagnosis technology, it takes time and resources to develop and apply reliable software,” said Hyuksung Chung, Vice President of the Business Development Group at LG Energy Solution. “LG Energy Solution has already developed diagnostics software with capabilities that overwhelm the competition. Backed by various battery patents and vast amounts of empirical data, this leading vehicle software can be applied to an automotive BMS today. This move aligns with our commitment to actively collaborate with our clients to ensure EV batteries are safe to use.”
- Precise diagnosis and degradation prediction with 1% range error rate
In addition to a safety diagnosis function, LG Energy Solution has developed a technology that precisely diagnoses and predicts battery degradation.
Through this technology, the software can predict a battery’s future capacity and degradation based on data gathered on various information such as driving patterns. Based on LG Energy Solution‘s expertise in battery electrochemistry, the software has applied a battery physics model which includes various and complex degradation mechanisms such as lithium precipitation and degradation of cathode and anode.
The software also diagnoses battery conditions more accurately by continuously upgrading its algorithms via AI computing technology. By continuously applying and supplementing battery cell information from various EVs to the algorithm, the error rate of battery degradation diagnosis has been reduced to the 1% range, top-level in the industry.
SOURCE: PRNewswire