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This section details the structure, characteristics, and operational modes of series hybrid electric vehicles (HEVs), highlighting their emission advantages, flexible drivetrain configurations, and challenges related to component sizing and energy conversion efficiency. It contrasts design philosophies of 'small generator + large battery' versus 'large generator + small battery' and outlines six key operational modes, emphasizing the role of control strategies in optimizing performance, fuel economy, and emissions. (本节详细阐述了串联式混合动力汽车的结构、特点和工作模式，强调了其排放优势、灵活的驱动形式配置以及与部件尺寸和能量转换效率相关的挑战。对比了“小发电单元+大容量电池”与“大发电单元+小电池”两种设计理念，并概述了六种关键工作模式，强调了控制策略在优化性能、燃油经济性和排放方面的作用。)

The large-scale application of sodium-ion batteries by 2026 is expected to significantly reduce energy costs and enhance power stability for AI computing centers, potentially accelerating AI infrastructure deployment in China. (到2026年，钠离子电池的大规模应用预计将显著降低AI计算中心的能源成本并提升供电稳定性，可能加速中国AI基础设施的部署。)

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AI prediction models are revolutionizing the power battery industry by enhancing production efficiency, optimizing supply chains, and improving battery performance through data-driven insights. (AI预测模型正通过数据驱动的洞察，提升生产效率、优化供应链并改善电池性能，从而革新动力电池产业。)

English Summary: The article discusses the potential impact of sodium-ion battery technology's large-scale adoption by 2026 on AI computing centers, highlighting how this energy storage innovation could address power reliability, cost efficiency, and sustainability challenges in high-performance computing environments. (中文摘要翻译: 本文探讨了钠离子电池技术预计在2026年大规模应用对AI计算中心的影响，重点分析了这一储能创新如何解决高性能计算环境中的电力可靠性、成本效益和可持续性挑战。)

AI predictive models are revolutionizing the power battery industry by enhancing efficiency, safety, and sustainability through data-driven insights and optimization. (AI预测模型正通过数据驱动的洞察和优化，提升动力电池产业的效率、安全性和可持续性，引领产业变革。)

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