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Existing battery management solution requires optimization for embedded platforms with microcontrollers to enable market expansion. Current algorithm demands excessive memory/resources, lacks fixed-point computation support, and requires portability across diverse hardware architectures while maintaining diagnostic accuracy.
A leading provider of battery management solutions utilizing proprietary algorithms and data analytics to diagnose, forecast, and prevent lithium-ion battery malfunctions
Enables market expansion into embedded systems segment (aviation, IoT, automotive sectors), reduces customer operational costs through optimized battery maintenance, and increases solution adoption through hybrid deployment capabilities. Expected to improve customer retention by 35% through enhanced performance metrics.