Core Insights - LiTime's 12V 100Ah Smart ComFlex Battery has achieved full compatibility with Victron Energy's energy management systems, providing an intelligent and affordable energy solution for RV and marine users [1][5][9] - The integration allows for cell-level monitoring and real-time charge optimization without the need for additional accessories, significantly reducing system integration costs [9][12] - LiTime plans to expand its product line with new battery models and enhance compatibility with more third-party platforms, aiming to create a comprehensive intelligent energy ecosystem [14][15][17] Company Overview - LiTime specializes in lithium iron phosphate (LiFePO₄) battery technology and has 16 years of experience in the energy storage industry, focusing on intelligent and flexible energy solutions [4][18] - The company has a global customer support network and has received over 380 product certifications worldwide, emphasizing its commitment to quality and innovation [18] Industry Context - The RV and marine markets have historically faced challenges in selecting batteries that integrate well with energy management systems, often leading to a trade-off between cost and functionality [7][8] - There is a growing demand for intelligent and affordable energy management solutions that can enhance user experience and operational efficiency [8][9] Product Features - The LiTime 12V 100Ah Smart ComFlex Battery supports up to 16 units in parallel and provides real-time reporting of critical data to the Victron system, optimizing charge strategies and improving energy efficiency [12] - The battery features plug-and-play installation with a built-in smart BMS and supports over-the-air firmware updates, ensuring continuous improvement and compatibility with additional systems [12][15] Future Developments - LiTime is set to launch its 48V 100Ah Smart ComFlex Battery in Q3 2025 and a 24V 100Ah model in Q4 2025, with plans for further market expansion [14][15] - The company aims to integrate AI-powered predictive analysis and edge-computing adaptive control to enhance energy management experiences for users [17]