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混联式混合动力客车能量管理实时优化算法研究
引用本文:林歆悠,薛瑞,孙冬野. 混联式混合动力客车能量管理实时优化算法研究[J]. 中国机械工程, 2013, 24(18): 2539-2543
作者姓名:林歆悠  薛瑞  孙冬野
作者单位:1.福州大学,福州,3500022.重庆大学机械传动国家重点实验室,重庆,400030
基金项目:国家自然科学基金资助项目(51075410);福建省教育厅A类科技项目(JA12045)National Natural Science Foundation of China(No. 51075410);Fujian Provincial Science and Technology Program of Ministry of Education of China(No. JA12045)
摘    要:为提高新型混联式混合动力客车的燃油经济性,制定了一种功率均衡能量管理控制策略。建立动力系统模型并针对其结构特点设计了模式切换规则。通过确定各个功率需求下的电池荷电状态与发动机燃油消耗的关系,将电池功率转化为相应的油耗,以每一时刻的综合燃油消耗量最小为目标,对电池与发动机功率进行实时优化均衡控制。仿真结果表明:电池荷电状态控制在预定的区域内保持平衡,发动机运行工作点在高效区域内,且整车燃油经济性与原型客车和采用规则控制策略相比分别提高了34.18%和13.61%。

关 键 词:客车  混合动力传动  能量管理  实时优化  

Development of a Real-time Optimization Algorithm for a Series-parallel Hybrid Electric Bus Energy Management
Lin Xinyou,Xue Rui,Sun Donye. Development of a Real-time Optimization Algorithm for a Series-parallel Hybrid Electric Bus Energy Management[J]. China Mechanical Engineering, 2013, 24(18): 2539-2543
Authors:Lin Xinyou  Xue Rui  Sun Donye
Affiliation:1.Fuzhou University,Fuzhou,3500022.The State Key Laboratory of Mechanical Transmission,Chongqing University,Chongqing,400030
Abstract:In order to improve fuel economy of a novel series-parallel hybrid electric bus (SPHEB), a type of power balancing control strategy for optimal energy management was proposed.The system model of SPHEB was set up and according to the characteristics of the novel series-parallel architecture, the switching control rule between series and parallel mode was designed. The equivalent fuel of battery was implemented through the definition of the relationship between the difference of SOC and fuel consumption under the driving power, the objective function that was to minimize the fuel consumption at each sampled time and to coordinate the power distribution in real-time between the engine and battery. The results of simulation demonstrate that the proposed strategy enables to sustain the battery SOC within its anticipative range and keeps the engine operation points locating the peak efficiency region, and the fuel economy of novel SPHEB dramatically advances up to 34.18% via comparing with the prototype bus and relative to rule-based strategy, the reduction of fuel consumption is up to 13.61%.
Keywords:city bus  hybrid electric powertrain  energy management  real-time optimization  
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