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作 者:欧阳壮 张瑞 朱天军 OUYANG Zhuang;ZHANG Rui;ZHU Tianjun(Quality Measurement Supervision and Testing Institute of Zhaoqing City,Zhaoqing 526070,China;School of Mechanical and Equipment Engineering,Hebei University of Engineering,Handan 056038,China;College of Mechanical and Automotive Engineering,Zhaoqing University,Zhaoqing 526061,China)
机构地区:[1]广东省肇庆市质量计量监督检测所,广东肇庆526070 [2]河北工程大学机械与装备工程学院,河北邯郸056107 [3]肇庆学院机械与汽车工程学院,广东肇庆526061
出 处:《计算机测量与控制》2023年第1期133-139,146,共8页Computer Measurement &Control
基 金:国家自然科学基金项目(51205105);河北省高等学校科学技术研究项目(ZD2017213);河北省科技计划项目(17394501D);广东省教育厅特色创新项目(2019KTSCX201);肇庆市社会与民生科技项目(2020SN004);广东省教育厅重点领域项目(2021ZDZX1061)。
摘 要:对于混合动力汽车而言,节能减排是促使其发展的主要原因,而能量管理策略是节能减排的关键技术,因此针对并联混合动力汽车的能量管理策略展开研究;首先运用ADVISOR电动汽车仿真软件,选用某款并联混合动力车型,并使用标准ECE_ECDU和UDDS循环工况来评估整车燃油经济性和污染物排放效果;然后,采用门限参数优化的方法对控制策略进行优化;最后对比优化前后不同循环工况仿真结果中汽车的燃油经济性和排放性能的变化,并分析了优化后的策略对汽车性能的影响;研究表明,所提出的优化方法使汽车在ECE_ECDU和UDDS循环工况中的每百公里油耗分别降低了8.45%和10%,有害气体HC、CO和NOX含量分别减少了5.88%和5.8%、12.24%和11.54%、8.55%和7.51%,进一步验证了优化策略的有效性。Energy saving and emission reduction for hybrid electric vehicle are the main reason of its development, and an energy management strategy is the key technology for energy saving and emission reduction. Therefore, the energy management strategy research of parallel hybrid electric vehicle is carried out;Firstly, ADVISOR electric vehicle simulation software is used to select a certain parallel hybrid vehicle, and the cycle conditions of the standard ECE_ECDU and UDDS are used to evaluate the fuel economy and pollutant emission effect of whole vehicle;Then, the threshold parameter optimization method is used to optimize the control strategy;Finally, the changes of fuel economy and emission performance for the vehicle in the simulation results are compared with the different cycle conditions before and after the optimization, and the influence of the optimized strategy on the vehicle performance is analyzed;The research shows that the proposed optimization method can reduce the fuel consumption per 100 kilometers of the car in the ECE_ECDU and UDDS cycle conditions by 8.45% and 10%, respectively, and the harmful gases HC, CO and NOXcontent by 5.88% and 5.8%, 12.24% and 11.54%, 8.55% and 7.51%, respectively, which further verifies the effectiveness of the optimization strategy.
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