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...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1103 kW·h,储能系统总运行成本减少5.02×10^(5)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。展开更多
【目的】基于水文过程模拟分析,研究白洋淀上游山区水源涵养林优化配置,提升该区水源涵养林建设质量。【方法】以2016年为例,利用SWAT(Soil and Water Assessment Tool)模型验证了白洋淀上游山区安各庄流域本地化过程的适用性,根据安各...【目的】基于水文过程模拟分析,研究白洋淀上游山区水源涵养林优化配置,提升该区水源涵养林建设质量。【方法】以2016年为例,利用SWAT(Soil and Water Assessment Tool)模型验证了白洋淀上游山区安各庄流域本地化过程的适用性,根据安各庄流域立地条件共划分63种立地类型并进行立地质量等级评价。根据立地条件进行水源涵养林空间配置,再利用SWAT模型情景分析模拟不同水源涵养林空间配置下的径流量。【结果】在以调整混交林、针叶林为主的情景下,流域丰水期径流量比实测值减少15.79%,枯水期径流量比实测值增加15.83%。在空间配置上,阔叶林主要配置在缓坡和斜坡地,以阳坡为好;混交林主要配置在斜坡地和陡坡地;针叶林主要配置在陡坡地,以阴坡为好;灌木林主要配置在斜坡地和陡坡地,尤其是在土层薄的部位。【结论】在以混交林、针叶林为主的空间配置下,水源涵养林涵养水源功能发挥最好。展开更多
For the case that two pursuers intercept an evasive target,the cooperative strategies and state estimation methods taken by pursuers can seriously affect the guidance accuracy for the target,which performs a bang For ...For the case that two pursuers intercept an evasive target,the cooperative strategies and state estimation methods taken by pursuers can seriously affect the guidance accuracy for the target,which performs a bang For the case that two pursuers intercept an evasive target,the cooperative strategies and state estimation methods taken by pursuers can seriously affect the guidance accuracy for the target,which performs a bang-bang evasive maneuver with a random switching time.Combined Fast multiple model adaptive estimation(Fast MMAE)algorithm,the cooperative guidance law takes detection configuration affecting the accuracy of interception into consideration.Introduced the detection error model related to the line-of-sight(LOS)separation angle of two interceptors,an optimal cooperative guidance law solving the optimization problem is designed to modulate the LOS separation angle to reduce the estimation error and improve the interception performance.Due to the uncertainty of the target bang-bang maneuver switching time and the effective fitting of its multi-modal motion,Fast MMAE is introduced to identify its maneuver switching time and estimate the acceleration of the target to track and intercept the target accurately.The designed cooperative optimal guidance law with Fast MMAE has better estimation ability and interception performance than the traditional guidance law and estimation method via Monte Carlo simulation.展开更多
文摘【目的】基于水文过程模拟分析,研究白洋淀上游山区水源涵养林优化配置,提升该区水源涵养林建设质量。【方法】以2016年为例,利用SWAT(Soil and Water Assessment Tool)模型验证了白洋淀上游山区安各庄流域本地化过程的适用性,根据安各庄流域立地条件共划分63种立地类型并进行立地质量等级评价。根据立地条件进行水源涵养林空间配置,再利用SWAT模型情景分析模拟不同水源涵养林空间配置下的径流量。【结果】在以调整混交林、针叶林为主的情景下,流域丰水期径流量比实测值减少15.79%,枯水期径流量比实测值增加15.83%。在空间配置上,阔叶林主要配置在缓坡和斜坡地,以阳坡为好;混交林主要配置在斜坡地和陡坡地;针叶林主要配置在陡坡地,以阴坡为好;灌木林主要配置在斜坡地和陡坡地,尤其是在土层薄的部位。【结论】在以混交林、针叶林为主的空间配置下,水源涵养林涵养水源功能发挥最好。
基金This work was supported by the National Natural Science Foundation(NNSF)of China under grant no.61673386,62073335the China Postdoctoral Science Foundation(2017M613201,2019T120944).
文摘For the case that two pursuers intercept an evasive target,the cooperative strategies and state estimation methods taken by pursuers can seriously affect the guidance accuracy for the target,which performs a bang For the case that two pursuers intercept an evasive target,the cooperative strategies and state estimation methods taken by pursuers can seriously affect the guidance accuracy for the target,which performs a bang-bang evasive maneuver with a random switching time.Combined Fast multiple model adaptive estimation(Fast MMAE)algorithm,the cooperative guidance law takes detection configuration affecting the accuracy of interception into consideration.Introduced the detection error model related to the line-of-sight(LOS)separation angle of two interceptors,an optimal cooperative guidance law solving the optimization problem is designed to modulate the LOS separation angle to reduce the estimation error and improve the interception performance.Due to the uncertainty of the target bang-bang maneuver switching time and the effective fitting of its multi-modal motion,Fast MMAE is introduced to identify its maneuver switching time and estimate the acceleration of the target to track and intercept the target accurately.The designed cooperative optimal guidance law with Fast MMAE has better estimation ability and interception performance than the traditional guidance law and estimation method via Monte Carlo simulation.
