单行星排客车混动系统控制策略对比
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摘要
为了提高混合动力汽车的燃油经济性及降低汽车的尾气排放,从中国城市典型工况的动力需求出发,以单行星排10.5 m城市公交客车为研究对象,采用MATLAB软件建立整车经济性计算模型;然后,对比分析客车在单一目标控制策略和双层筛选全局优化控制策略下的节油效果.研究结果表明:在中国城市典型工况下,客车采用双层筛选全局优化控制策略比采用单一目标控制策略节油效果更为显著,节油率高达4.4%.
In order to improve the fuel economy and reduce the exhaust emissions of hybrid vehicles, a single planetary row 10.5 m city bus was taken as the object to conduct the research. Starting from the dynamic demand of typical urban conditions in China, the MATLAB software was used to establish the economic calculation model of the whole vehicle. The fuel economy effect of the passenger car was comparatively analyzed under the single target control strategy and the double-layer screening global optimization control strategy. The analysis results showed that the fuel saving of the double-layer screening global optimization control strategy in typical urban conditions in China is 4.4%, which is more distinct than that of single target control strategy.
In order to improve the fuel economy and reduce the exhaust emissions of hybrid vehicles, a single planetary row 10.5 m city bus was taken as the object to conduct the research. Starting from the dynamic demand of typical urban conditions in China, the MATLAB software was used to establish the economic calculation model of the whole vehicle. The fuel economy effect of the passenger car was comparatively analyzed under the single target control strategy and the double-layer screening global optimization control strategy. The analysis results showed that the fuel saving of the double-layer screening global optimization control strategy in typical urban conditions in China is 4.4%, which is more distinct than that of single target control strategy.
引文
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[3] AHN K,CHO S,CHA S W.Optimal operation of the power-split hybrid electric vehicle powertrain[J].Journal of Automobile Engineering,2008,222(5):789-800.DOI:10.1243/09544070jauto426.
[4] 李垚.并联混合动力客车动力源参数匹配和优化[D].北京:北京理工大学,2016.
[5] 张松,吴光强.插电式混合动力汽车能量管理策略多目标优化[J].同济大学学报(自然科学版),2011,39(7):1035-1039,1044.DOI:10.3969/j.issn.0253-374x.2011.07.017.
[6] 林潇,张君鸿.基于粒子群算法的Plugin混合动力汽车能量管理策略优化研究[J].上海汽车,2011(5):12-18.DOI:10.3969/j.issn.1007-4554.2011.05.03.
[7] 张岩.基于运行工况的混合动力系统控制策略研究[D].天津:天津职业技术师范大学,2016.
[8] 方华.混合动力客车动力系统经济性仿真与试验研究[D].上海:上海交通大学,2011.
[9] 李军,杨东徽,束海波,等.纯电动汽车动力系统匹配与性能仿真[J].华侨大学学报(自然科学版),2017,38(3):281-287.DOI:10.11830/ISSN.1000-5013.201703001.
[10] 钱庆辉.ECVT混合动力客车动力系统匹配计算[J].客车技术与研究,2017,39(3):13-15,30.
[11] 王晨,郭明林,刘国志.新型功率分流混合动力汽车的动力性优化[J].华南理工大学学报(自然科学版),2015,43(11):96-104.DOI:10.3969/j.issn.1000-565X.2015.11.014.
[12] 王晓闯.混合动力客车用双排行星齿轮机构研究[D].成都:西南交通大学,2011.
[13] 彭浩,杨耀权,刘春雨.混合动力汽车能量管理全局优化算法仿真[J].计算机仿真,2018,35(5):148-151,206.
[14] 高建平,李晓林,郭志军.改进型混合动力汽车工况预测算法的应用仿真[J].河南科技大学学报(自然科学版),2013,34(2):34-38.DOI:10.3969/j.issn.1672-6871.2013.02.009.
[15] 林歆悠,冯其高,张少博.等效因子离散全局优化的等效燃油瞬时消耗最小策略能量管理策略[J].机械工程学报,2016,52(20):102-110.DOI:10.3901/JME.2016.20.102.
[16] 叶明,任洪,李鑫.基于调速能量的EMCVT电动汽车全局优化[J].中国机械工程,2016,27(9):1257-1262.DOI:10.3969/j.issn.1004-132X.2016.09.019.