针对燃料电池船舶复合供能系统中的燃料电池功率波动问题和储能单元电池荷电状态(State of Charge, SOC)极端分化问题,依据系统拓扑结构,提出基于负载功率频率分解与模糊逻辑控制法相结合的复合供能系统控制策略设计。采用实例仿真验证...针对燃料电池船舶复合供能系统中的燃料电池功率波动问题和储能单元电池荷电状态(State of Charge, SOC)极端分化问题,依据系统拓扑结构,提出基于负载功率频率分解与模糊逻辑控制法相结合的复合供能系统控制策略设计。采用实例仿真验证该设计的优势。结果表明,该设计可有效保持燃料电池输出功率平滑,对储能单元SOC具有良好的均衡控制效果。展开更多
By using high-power and high-efficiency propulsion systems,current hybrid electric vehicles(HEVs) in market can achieve excellent fuel economy and kinetic performance.However,it is the cost of current HEVs that hind...By using high-power and high-efficiency propulsion systems,current hybrid electric vehicles(HEVs) in market can achieve excellent fuel economy and kinetic performance.However,it is the cost of current HEVs that hinders HEVs coming into widespread use.A novel hybrid electric propulsion system is designed to balance HEV cost and performance for developing markets.A battery/supercapacitor-based hybrid energy storage system(HESS) is used to improve energy conversion efficiency and reduce battery size and cost.An all-in-one-controller(AIOC) which integrates engine electronic control unit(ECU),motor ECU,and HESS management system is developed to save materials and energy,and reduce the influence of distribution parameters on circuit.As for the powertrain configuration,four schemes are presented:belt-driven starter generator(BSG) scheme,four-wheel drive HEV scheme,full HEV scheme,and ranger-extender electric vehicle(EV) scheme.Component selection and parameter matching for the propulsion system are performed,and an energy management strategy is developed based on powertrain configuration and selected components.Forward-facing simulation models are built,comprehending the control strategy based on the optimal engine torque for the low-cost hybrid electric propulsion system.Co-simulation of AVL CRUISE and Matlab/Simulink is presented and the best scheme is selected.The simulation results indicate that,for the best design,fuel consumption in urban driving condition is 4.11 L/(100 km) and 0-50 km/h accelerating time is 10.95 s.The proposed research can realize low-cost concept for HEV while achieving satisfactory fuel economy and kinetic performance,and help to improve commercialization of HEVs.展开更多
The combination of batteries and ultracapacitors has become an effective solution to satisfy the requirements of high power density and high energy density for the energy-storage system of electric vehicles.Three aspe...The combination of batteries and ultracapacitors has become an effective solution to satisfy the requirements of high power density and high energy density for the energy-storage system of electric vehicles.Three aspects of such combination efforts were considered for evaluating the four types of hybrid energy-storage system(HESS)topologies.First,a novel optimization framework was proposed and implemented to optimize the voltage level of a battery pack and an ultracapacitor pack for the four types of HESS topologies.During the optimization process,the dynamic programming(DP)algorithm was iteratively applied to determine the optimal control actions.The simulation results with DP were used to evaluate the energy efficiency of different HESS topologies at different voltage levels.Second,the optimized voltage level of the battery and ultracapacitor in each topology indicates that a higher voltage level usually results in a better system performance.The simulation results also illustrate that the optimized rated voltage level of the battery pack is approximately 499.5 V,while for the ultracapacitor pack,the optimized voltage level is at its maximum allowed value.Note that the constraint of the battery voltage is initialized at200–600 V.Third,the control rules for different HESS topologies were obtained through the systematic analysis of the simulation results.In addition,advantages and disadvantages of the four topologies were summarized through evaluation of the efficiency and operating currents of the batteries and the ultracapacitor.展开更多
针对风光互补发电系统并网功率波动问题,在考虑平抑功率波动对储能性能需求的基础上,将蓄电池和超级电容器组成复合储能系统(hybrid energy storage system,HESS)应用到风光互补微电网中,并提出了复合储能的能量管理和控制策略。能量管...针对风光互补发电系统并网功率波动问题,在考虑平抑功率波动对储能性能需求的基础上,将蓄电池和超级电容器组成复合储能系统(hybrid energy storage system,HESS)应用到风光互补微电网中,并提出了复合储能的能量管理和控制策略。能量管理方面,遵循超级电容器优先工作原则,通过判断超级电容器端电压大小来决定复合储能的工作方式;超级电容器用来平抑风光发电并网波动功率的高频部分,蓄电池平抑低频部分,进而减少蓄电池的充放电次数,延长其使用寿命;控制策略方面,蓄电池的双向DC/DC变换器采用恒功率控制,超级电容器的双向DC/DC变换器采用恒母线电压控制,保证了直流母线电压的稳定,实现了复合储能的双向充放电控制。最后,利用PSCAD软件搭建了含复合储能的风光互补微电网仿真模型,仿真结果验证了所提控制策略的有效性和正确性。展开更多
文摘针对燃料电池船舶复合供能系统中的燃料电池功率波动问题和储能单元电池荷电状态(State of Charge, SOC)极端分化问题,依据系统拓扑结构,提出基于负载功率频率分解与模糊逻辑控制法相结合的复合供能系统控制策略设计。采用实例仿真验证该设计的优势。结果表明,该设计可有效保持燃料电池输出功率平滑,对储能单元SOC具有良好的均衡控制效果。
基金supported by General Motors (Low-cost Hybrid Electric Propulsion System)
文摘By using high-power and high-efficiency propulsion systems,current hybrid electric vehicles(HEVs) in market can achieve excellent fuel economy and kinetic performance.However,it is the cost of current HEVs that hinders HEVs coming into widespread use.A novel hybrid electric propulsion system is designed to balance HEV cost and performance for developing markets.A battery/supercapacitor-based hybrid energy storage system(HESS) is used to improve energy conversion efficiency and reduce battery size and cost.An all-in-one-controller(AIOC) which integrates engine electronic control unit(ECU),motor ECU,and HESS management system is developed to save materials and energy,and reduce the influence of distribution parameters on circuit.As for the powertrain configuration,four schemes are presented:belt-driven starter generator(BSG) scheme,four-wheel drive HEV scheme,full HEV scheme,and ranger-extender electric vehicle(EV) scheme.Component selection and parameter matching for the propulsion system are performed,and an energy management strategy is developed based on powertrain configuration and selected components.Forward-facing simulation models are built,comprehending the control strategy based on the optimal engine torque for the low-cost hybrid electric propulsion system.Co-simulation of AVL CRUISE and Matlab/Simulink is presented and the best scheme is selected.The simulation results indicate that,for the best design,fuel consumption in urban driving condition is 4.11 L/(100 km) and 0-50 km/h accelerating time is 10.95 s.The proposed research can realize low-cost concept for HEV while achieving satisfactory fuel economy and kinetic performance,and help to improve commercialization of HEVs.
基金supported by the Beijing Institute of Technology Research Fund Program for Young Scholarsthe Excellent Young Scholars Research Fund of Beijing Institute of Technologythe National Science & Technology Pillar Program(Grant No.2013BAG05B00)
文摘The combination of batteries and ultracapacitors has become an effective solution to satisfy the requirements of high power density and high energy density for the energy-storage system of electric vehicles.Three aspects of such combination efforts were considered for evaluating the four types of hybrid energy-storage system(HESS)topologies.First,a novel optimization framework was proposed and implemented to optimize the voltage level of a battery pack and an ultracapacitor pack for the four types of HESS topologies.During the optimization process,the dynamic programming(DP)algorithm was iteratively applied to determine the optimal control actions.The simulation results with DP were used to evaluate the energy efficiency of different HESS topologies at different voltage levels.Second,the optimized voltage level of the battery and ultracapacitor in each topology indicates that a higher voltage level usually results in a better system performance.The simulation results also illustrate that the optimized rated voltage level of the battery pack is approximately 499.5 V,while for the ultracapacitor pack,the optimized voltage level is at its maximum allowed value.Note that the constraint of the battery voltage is initialized at200–600 V.Third,the control rules for different HESS topologies were obtained through the systematic analysis of the simulation results.In addition,advantages and disadvantages of the four topologies were summarized through evaluation of the efficiency and operating currents of the batteries and the ultracapacitor.
基金国家自然科学基金重点项目(50837001)国家重点基础研究发展计划(973项目)(2009CB219702)+3 种基金国家863高技术基金项目(2011AA05A107)Project Supported by National Natural Science Foundation of China(50837001)The National Basic Research Program of China(973 Program)(2009CB219702)The National High Technology Research and Development of China 863 Program(2011AA05A107)
文摘针对风光互补发电系统并网功率波动问题,在考虑平抑功率波动对储能性能需求的基础上,将蓄电池和超级电容器组成复合储能系统(hybrid energy storage system,HESS)应用到风光互补微电网中,并提出了复合储能的能量管理和控制策略。能量管理方面,遵循超级电容器优先工作原则,通过判断超级电容器端电压大小来决定复合储能的工作方式;超级电容器用来平抑风光发电并网波动功率的高频部分,蓄电池平抑低频部分,进而减少蓄电池的充放电次数,延长其使用寿命;控制策略方面,蓄电池的双向DC/DC变换器采用恒功率控制,超级电容器的双向DC/DC变换器采用恒母线电压控制,保证了直流母线电压的稳定,实现了复合储能的双向充放电控制。最后,利用PSCAD软件搭建了含复合储能的风光互补微电网仿真模型,仿真结果验证了所提控制策略的有效性和正确性。