针对退役动力电池规模大、单体筛选复杂、重组后动态特性差异大以及寿命损耗加剧等问题,该文考虑电池模组的功能状态(state of function,SOF)特性,提出基于数字孪生技术的退役电池模组筛选方法。首先,通过电压、电流、荷电状态(state of...针对退役动力电池规模大、单体筛选复杂、重组后动态特性差异大以及寿命损耗加剧等问题,该文考虑电池模组的功能状态(state of function,SOF)特性,提出基于数字孪生技术的退役电池模组筛选方法。首先,通过电压、电流、荷电状态(state of charge,SOC)及健康状态(state of health,SOH)等参量表征SOF特性,估计梯次利用过程中SOF动态安全裕度;其次,搭建耦合物理模型、信息流及数字孪生映射体的电池模组筛选架构,提出基于生成对抗网络(generative adversarial networks,GAN)与长短期记忆网络(long short-term memory,LSTM)的电池数据缺失及偏移预测方法,优化退役动力电池模组表征SOF的多性能参量;最后,采用k-means算法对综合考虑SOH及SOF特性的退役电池模组进行聚类筛选。仿真结果表明:所提筛选方法可以提高退役动力电池动态一致性,并延长梯次利用过程中电池的运行寿命。展开更多
Objective: To understand the health status of transitional resettlement sites and the needs of residents on health education, and to pro-vide basis for conducting health education after ear- thquakes and other public ...Objective: To understand the health status of transitional resettlement sites and the needs of residents on health education, and to pro-vide basis for conducting health education after ear- thquakes and other public emergen-cies. Method: From May 31 to June 2, 2008 (19 to 21 days after the earthquake), field obser-vation, questionnaire survey, and structured interviews were conducted in five transitional resettlement sites. Information on health status, health service, health education, and residents’ needs on health education was col-lected. Results: 430 questionnaires were dis-tributed and 424 valid completed ones were returned. Food and water were adequately supplied. Clinics for health assistance were established and environment disinfecting was conducted regularly by public health profes-sionals. Health education was available to residents. The large proportion (98.6%, 97.9%, 88.7%, and 93.2% respectively) of the residents acknowledged that water supply, food supply, lavatories, and health service were adequate to fulfill basic needs. The overall disease in-cidence of surveyed residents was 44.8%, and diarrhea and fever with respiratory symptoms were the most common diseases. Among residents’ needs on disease prevention knowl-edge and skills, basic knowledge of infectious diseases was most desirable (49.8%), and safety knowledge of water uses was secon-darily most desirable (36.8%). The most fa-vored approach of obtaining knowledge was watching television. Conclusions: In the pe-riod of 20 days after the earthquake, Living security, health facilities, and health care ser-vice could satisfy residents’ basic needs. Post-disaster health education should con-centrate on basic knowledge and skills of communicable diseases and health- risky be-havior. Timely distributing disease prevention materials could be effective.展开更多
针对电池电气特性与热特性之间复杂的耦合关系、温度对电池功率性能的影响以及荷电状态(state of charge,SOC)、温度状态(stateoftemperature,SOT)与峰值功率状态(state of power,SOP)之间的复杂关联等问题,该文提出一种考虑电热耦合特...针对电池电气特性与热特性之间复杂的耦合关系、温度对电池功率性能的影响以及荷电状态(state of charge,SOC)、温度状态(stateoftemperature,SOT)与峰值功率状态(state of power,SOP)之间的复杂关联等问题,该文提出一种考虑电热耦合特性的电池模组多状态协同估计方法。首先,分析电池电气特性与热特性之间的耦合关系,将分数阶等效电路模型与集总参数双态热模型结合,构建电池模组电热耦合模型。其次,针对电热耦合关系需要准确的SOC与SOT来维持的问题,采用自适应扩展卡尔曼算法(adaptive extended Kalman filter,AEKF)实现电池模组SOC与SOT估计。最后,分析不同状态之间的关联特性,将电池的SOC、SOT引入到多约束条件下的峰值SOP估计中,实现电池模组多状态协同估计,提高电池状态估计的准确性。仿真结果表明,所提方法在SOC初始误差为20%情况下,能够快速收敛至真实值,且均方根误差在0.52%以内,核心温度与表面温度估计误差分别在0.36和0.31℃以内。在40℃时,核心温度约束起作用,峰值功率估计结果显著降低,为动力电池的实时安全监控提供了有力保障。展开更多
为实现综合能源系统(integrated energy system,IES)内部能源与碳排放配额同时出清,且解决在不同季节下碳排放规划不合理等问题,该文提出基于“碳-能”协同响应的IES季节性低碳经济优化调度方法。首先,搭建IES的“电热气碳”耦合运行框...为实现综合能源系统(integrated energy system,IES)内部能源与碳排放配额同时出清,且解决在不同季节下碳排放规划不合理等问题,该文提出基于“碳-能”协同响应的IES季节性低碳经济优化调度方法。首先,搭建IES的“电热气碳”耦合运行框架,采用离散化处理打破碳交易与能量交易在时间尺度上的差异,针对各类型主体的功率特性构建多能一致性动态平衡模型;其次,统一融合碳能交互价格,构建新型碳能交互市场,将低碳需求信号引入到各季节的碳能交互价格之中,提出考虑季节排碳规划和需求响应的“碳-能”协同响应策略;最后,以IES运行的经济性与低碳性为目标,依据季节性优化调度流程下发运行计划。算例结果验证了该文所提的新型碳能交互市场与“碳-能”协同响应机制对IES的季节性低碳经济优化调度带来了积极影响。展开更多
对新能源汽车退役的动力电池进行梯次利用,可有效地提高储能电池的运行周期。根据退役后动力电池健康状态(state of health,SOH)的差异性,提出一种基于电池健康度的微电网群梯次利用储能系统容量配置方法。首先,考虑充放电深度对储能电...对新能源汽车退役的动力电池进行梯次利用,可有效地提高储能电池的运行周期。根据退役后动力电池健康状态(state of health,SOH)的差异性,提出一种基于电池健康度的微电网群梯次利用储能系统容量配置方法。首先,考虑充放电深度对储能电池寿命的影响,提出基于荷电状态(state of charge,SOC)的储能电池有效容量估算方法,为储能电池梯次利用相关研究提供理论依据。其次,为有效延长储能系统运行寿命,根据电池SOH设置储能系统的动态安全裕度,提高储能系统配置及调控的准确性。最后,根据梯次利用储能系统设定好的动态安全裕度,综合考虑微电网群的供需平衡、联络线损耗、储能的运行寿命及成本等,合理地制定系统选址定容方案。仿真结果表明广泛的动力电池梯次利用有效地降低了投资成本,通过SOH监测设定调控动态安全裕度,降低微电网群储能配置成本,延长了蓄电池使用寿命。展开更多
文摘针对退役动力电池规模大、单体筛选复杂、重组后动态特性差异大以及寿命损耗加剧等问题,该文考虑电池模组的功能状态(state of function,SOF)特性,提出基于数字孪生技术的退役电池模组筛选方法。首先,通过电压、电流、荷电状态(state of charge,SOC)及健康状态(state of health,SOH)等参量表征SOF特性,估计梯次利用过程中SOF动态安全裕度;其次,搭建耦合物理模型、信息流及数字孪生映射体的电池模组筛选架构,提出基于生成对抗网络(generative adversarial networks,GAN)与长短期记忆网络(long short-term memory,LSTM)的电池数据缺失及偏移预测方法,优化退役动力电池模组表征SOF的多性能参量;最后,采用k-means算法对综合考虑SOH及SOF特性的退役电池模组进行聚类筛选。仿真结果表明:所提筛选方法可以提高退役动力电池动态一致性,并延长梯次利用过程中电池的运行寿命。
文摘Objective: To understand the health status of transitional resettlement sites and the needs of residents on health education, and to pro-vide basis for conducting health education after ear- thquakes and other public emergen-cies. Method: From May 31 to June 2, 2008 (19 to 21 days after the earthquake), field obser-vation, questionnaire survey, and structured interviews were conducted in five transitional resettlement sites. Information on health status, health service, health education, and residents’ needs on health education was col-lected. Results: 430 questionnaires were dis-tributed and 424 valid completed ones were returned. Food and water were adequately supplied. Clinics for health assistance were established and environment disinfecting was conducted regularly by public health profes-sionals. Health education was available to residents. The large proportion (98.6%, 97.9%, 88.7%, and 93.2% respectively) of the residents acknowledged that water supply, food supply, lavatories, and health service were adequate to fulfill basic needs. The overall disease in-cidence of surveyed residents was 44.8%, and diarrhea and fever with respiratory symptoms were the most common diseases. Among residents’ needs on disease prevention knowl-edge and skills, basic knowledge of infectious diseases was most desirable (49.8%), and safety knowledge of water uses was secon-darily most desirable (36.8%). The most fa-vored approach of obtaining knowledge was watching television. Conclusions: In the pe-riod of 20 days after the earthquake, Living security, health facilities, and health care ser-vice could satisfy residents’ basic needs. Post-disaster health education should con-centrate on basic knowledge and skills of communicable diseases and health- risky be-havior. Timely distributing disease prevention materials could be effective.
文摘针对电池电气特性与热特性之间复杂的耦合关系、温度对电池功率性能的影响以及荷电状态(state of charge,SOC)、温度状态(stateoftemperature,SOT)与峰值功率状态(state of power,SOP)之间的复杂关联等问题,该文提出一种考虑电热耦合特性的电池模组多状态协同估计方法。首先,分析电池电气特性与热特性之间的耦合关系,将分数阶等效电路模型与集总参数双态热模型结合,构建电池模组电热耦合模型。其次,针对电热耦合关系需要准确的SOC与SOT来维持的问题,采用自适应扩展卡尔曼算法(adaptive extended Kalman filter,AEKF)实现电池模组SOC与SOT估计。最后,分析不同状态之间的关联特性,将电池的SOC、SOT引入到多约束条件下的峰值SOP估计中,实现电池模组多状态协同估计,提高电池状态估计的准确性。仿真结果表明,所提方法在SOC初始误差为20%情况下,能够快速收敛至真实值,且均方根误差在0.52%以内,核心温度与表面温度估计误差分别在0.36和0.31℃以内。在40℃时,核心温度约束起作用,峰值功率估计结果显著降低,为动力电池的实时安全监控提供了有力保障。
文摘为实现综合能源系统(integrated energy system,IES)内部能源与碳排放配额同时出清,且解决在不同季节下碳排放规划不合理等问题,该文提出基于“碳-能”协同响应的IES季节性低碳经济优化调度方法。首先,搭建IES的“电热气碳”耦合运行框架,采用离散化处理打破碳交易与能量交易在时间尺度上的差异,针对各类型主体的功率特性构建多能一致性动态平衡模型;其次,统一融合碳能交互价格,构建新型碳能交互市场,将低碳需求信号引入到各季节的碳能交互价格之中,提出考虑季节排碳规划和需求响应的“碳-能”协同响应策略;最后,以IES运行的经济性与低碳性为目标,依据季节性优化调度流程下发运行计划。算例结果验证了该文所提的新型碳能交互市场与“碳-能”协同响应机制对IES的季节性低碳经济优化调度带来了积极影响。
文摘对新能源汽车退役的动力电池进行梯次利用,可有效地提高储能电池的运行周期。根据退役后动力电池健康状态(state of health,SOH)的差异性,提出一种基于电池健康度的微电网群梯次利用储能系统容量配置方法。首先,考虑充放电深度对储能电池寿命的影响,提出基于荷电状态(state of charge,SOC)的储能电池有效容量估算方法,为储能电池梯次利用相关研究提供理论依据。其次,为有效延长储能系统运行寿命,根据电池SOH设置储能系统的动态安全裕度,提高储能系统配置及调控的准确性。最后,根据梯次利用储能系统设定好的动态安全裕度,综合考虑微电网群的供需平衡、联络线损耗、储能的运行寿命及成本等,合理地制定系统选址定容方案。仿真结果表明广泛的动力电池梯次利用有效地降低了投资成本,通过SOH监测设定调控动态安全裕度,降低微电网群储能配置成本,延长了蓄电池使用寿命。
