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作 者:杨阳[1] 巩慧[2] 秦大同[1] 苏岭 林广宇[4]
机构地区:[1]重庆大学机械传动国家重点实验室,重庆400044 [2]上海汽车集团股份有限公司技术中心,上海201804 [3]重庆长安新能源汽车有限公司,重庆401120 [4]长安大学汽车学院,陕西西安710064
出 处:《中国公路学报》2014年第3期108-115,121,共9页China Journal of Highway and Transport
基 金:"十二五"国家科技支撑计划项目(2013BAG12B01);机械传动国家重点实验室自主研究项目(0301002109186);中央高校基本科研业务费专项资金项目(2013G3222004)
摘 要:为了提高CVT重度混合动力汽车(重混汽车)的整车燃油经济性,综合考虑发动机、ISG电机、电池和CVT的效率,建立了在各种驱动模式下的系统效率优化模型;在此基础上制定了电荷消耗型和电荷增长型2种不同的驱动方案,并以瞬时系统效率最优为目标制定了整车能量管理策略;基于MATLAB/Simulink平台,建立了CVT重度混合动力整车系统仿真模型,并在NEDC工况下进行循环仿真。结果表明:CVT重混汽车采用该控制策略比采用ADVISOR中的基线控制百公里油耗降低了10.42%,比动力性相当的传统汽车百公里油耗降低了39.77%,而且可以控制电池的荷电状态指标在合理的工作范围内变化。In order to improve the economy of full hybrid electric vehicle (HEV) equipped with continuously variable transmission (CVT), system efficiency optimization models for various operating modes were built with consideration of efficiency of engine, integrated starter and generator (ISG), battery and CVT. Two driving schemas, charge consumption plan and charge growth plan, were proposed. For the target of instantaneous optimization of system efficiency, the energy management strategy was established. The cycle simulation model of full HEV with CVT was established using MATLAB/Simulink. The simulation was performed under NEDC working condition. The results show that fuel consumption of full HEV with CVT by employing the control strategy proposed in this paper decreases by 10.42%, compared with the strategy in ADVISOR, and compared with the power equivalent traditional vehicle, decreases by 39.77%. The control strategy proposed in the article can also control the battery state of charge within a reasonable range of operation.
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