基于動(dòng)態(tài)規(guī)劃算法的并聯(lián)式混合動(dòng)力汽車能源優(yōu)化管理
發(fā)布時(shí)間:2019-04-04 14:58
【摘要】:以提高燃油經(jīng)濟(jì)性為主要目標(biāo),建立并聯(lián)式混合動(dòng)力汽車能源優(yōu)化分配控制策略.對(duì)動(dòng)態(tài)規(guī)劃算法進(jìn)行改進(jìn),在汽車行駛過(guò)程中全局優(yōu)化分配內(nèi)燃機(jī)和蓄電池兩種動(dòng)力源的輸出功率,以提高能源利用率.通過(guò)仿真軟件ADVISOR2002的仿真結(jié)果表明:在相同條件下,采用改進(jìn)型DP算法對(duì)并聯(lián)式混合動(dòng)力汽車進(jìn)行能量?jī)?yōu)化時(shí),大大縮短了仿真時(shí)間;與基于開關(guān)式能源優(yōu)化管理策略油耗相比,采用改進(jìn)型DP算法的能源優(yōu)化管理系統(tǒng),油耗可降低33%.
[Abstract]:In order to improve fuel economy, the optimal energy distribution control strategy of parallel hybrid vehicle is established. The dynamic programming algorithm is improved in order to optimize the output power of internal combustion engine and battery in order to improve the energy efficiency. The simulation results of the simulation software ADVISOR2002 show that under the same conditions, the simulation time is greatly shortened when the improved DP algorithm is used to optimize the energy of the parallel hybrid electric vehicle. Compared with the fuel consumption based on switching energy optimization management strategy, the fuel consumption of the energy optimization management system based on the improved DP algorithm can be reduced by 33%.
【作者單位】: 上海海事大學(xué)物流工程學(xué)院;上海應(yīng)用技術(shù)學(xué)院電氣與電子工程學(xué)院;
【基金】:國(guó)家自然科學(xué)基金(61374132)
【分類號(hào)】:U469.7
本文編號(hào):2453923
[Abstract]:In order to improve fuel economy, the optimal energy distribution control strategy of parallel hybrid vehicle is established. The dynamic programming algorithm is improved in order to optimize the output power of internal combustion engine and battery in order to improve the energy efficiency. The simulation results of the simulation software ADVISOR2002 show that under the same conditions, the simulation time is greatly shortened when the improved DP algorithm is used to optimize the energy of the parallel hybrid electric vehicle. Compared with the fuel consumption based on switching energy optimization management strategy, the fuel consumption of the energy optimization management system based on the improved DP algorithm can be reduced by 33%.
【作者單位】: 上海海事大學(xué)物流工程學(xué)院;上海應(yīng)用技術(shù)學(xué)院電氣與電子工程學(xué)院;
【基金】:國(guó)家自然科學(xué)基金(61374132)
【分類號(hào)】:U469.7
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1 冷偉;孟相陽(yáng);;汽車前端支架模塊化研究[J];電子世界;2013年19期
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