为持续推进国家“双碳”目标，优化储能电池的寿命和经济性，通过建立计及温度和循环次数的电池寿命模型，并结合开路电压测试、混合脉冲功率特性（hybrid pulse power characterization, HPPC）实验、充放电循环实验和日历老化实验等方法，研究了储能电池的寿命特性及经济性优化策略。结果表明，采用全寿命周期经济等值为上层优化目标、系统日区间最优运行策略为下层优化目标的双层优化配置模型，可有效提升储能系统的经济性。在内蒙古自治区某牧区风储微电网的算例分析中，优化后风机装机功率由60 kW调整为30 kW，储能电池容量优化为1 103 kW·h，储能系统总运行成本减少5.02 × 10⁵元，并揭示了温度和循环次数对系统运行成本的影响规律。可见，该优化方法可在确保系统稳定运行的前提下，提升储能系统的经济性与可推广性，为储能技术的工程应用提供理论支撑。

In order to continuously promote the national "dual carbon" goal and optimize the life and economy of energy storage batteries, a battery life model considering temperature and cycle times was established. Combined with open circuit voltage testing, hybrid pulse power characterization (HPPC) experiments, charge discharge cycle experiments, and calendar aging experiments, the life characteristics and economy optimization strategies of energy storage batteries were studied. The results show that a dual-layer optimization configuration model, which adopts the full life cycle economic equivalence as the upper optimization objective and the system's daily interval optimal operation strategy as the lower optimization objective, can effectively enhance the economic efficiency of the energy storage system. In a case study of a wind-storage microgrid in a pastoral area of Inner Mongolia Autonomous Region, the optimized wind turbine installed power was adjusted from 60 kW to 30 kW, and the energy storage battery capacity was optimized to 1 103 kW·h, resulting in a reduction of the total operating cost of the energy storage system by CNY 5.02 × 10⁵. The influence of temperature and cycle times on the system operating cost was also revealed. It is concluded that this optimization method can improve the economic efficiency and scalability of the energy storage system while ensuring its stable operation, providing theoretical support for the engineering application of energy storage technology.