This technology uses an extended Kalman filter algorithm for real-time SOC estimation of lithium-ion batteries, with small computational requirements and portability to microprocessors. Combined with precise monitoring of individual cells and energy conversion control strategies, it optimizes energy efficiency through braking energy recovery systems and energy storage unit charging, while monitoring risks and ly replacing failed batteries, ensuring battery pack lifespan and safety.

Technology provider:Xiangtan University