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电动车动力总成噪声品质粒子群-向量机预测模型 被引量:4
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作者 方源 章桐 +1 位作者 陈霏霏 郭荣 《西安交通大学学报》 EI CAS CSCD 北大核心 2016年第1期41-46,共6页
为了实现电动车动力总成噪声品质的预测,以某集中驱动式电动车为例,在考虑动力总成辐射噪声品质频域特性和已设立的敏感频带能量比这一客观评价参数的基础上进行了心理声学参数,即响度、尖锐度、粗糙度、抖动度、语音清晰度等与主观评... 为了实现电动车动力总成噪声品质的预测,以某集中驱动式电动车为例,在考虑动力总成辐射噪声品质频域特性和已设立的敏感频带能量比这一客观评价参数的基础上进行了心理声学参数,即响度、尖锐度、粗糙度、抖动度、语音清晰度等与主观评价的相关性分析,由此建立了电动车动力总成噪声品质粒子群支持向量机预测模型,内容涉及采用支持向量机建立噪声品质预测模型、利用粒子群优化算法对向量基惩罚因子及核函数参数进行优化,最后验证了敏感频带能量比评价参数的有效性。研究结果表明:敏感频带能量比与主观评价相关度达到0.946,可以较好地反映主观感受;基于粒子群支持向量机的噪声品质预测模型的平均相对误差和最大相对误差分别为2.0%和6.7%,表明以敏感频带能量比作为输入特征的粒子群优化支持向量机模型,在电动车动力总成噪声品质的预测精度上优于基于遗传算法优化及网格搜索优化的预测模型。 展开更多
关键词 电动车动力总成 噪声品质 粒子群优化 支持向量机 敏感频带能量比
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基于神经网络的电动车动力总成噪声品质预测 被引量:2
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作者 李彦华 方源 +1 位作者 陈霏霏 章桐 《机电一体化》 2016年第8期21-24,共4页
以某集中驱动式电动车不同车速匀速行驶时采集到的动力总成噪声样本为研究对象,基于心理声学客观评价参数进行了主客观评价相关性分析,分别使用多元线性回归分析、BP神经网络和广义回归神经网络建立噪声品质预测模型,并对声品质预测结... 以某集中驱动式电动车不同车速匀速行驶时采集到的动力总成噪声样本为研究对象,基于心理声学客观评价参数进行了主客观评价相关性分析,分别使用多元线性回归分析、BP神经网络和广义回归神经网络建立噪声品质预测模型,并对声品质预测结果进行了对比分析。结果表明,广义回归神经网络模型对于噪声样本烦躁度的预测精度高于多元线性回归模型和BP神经网络预测模型,能够更好地反映客观评价参数和主观感受的非线性关系,可用于电动车噪声品质的预测研究。 展开更多
关键词 电动车动力总成 噪声品质 支持向量机 预测模型
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Parameters matching and optimization of parallel hybrid electric vehicle powertrain 被引量:7
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作者 陈勇 Chen Xiaokai Lin Yi 《High Technology Letters》 EI CAS 2010年第1期34-38,共5页
Aiming at the development of parallel hybrid electric vehicle (PHEV) powertrain, parameter matching and optimization are presented, According to the performance of PHEV, the optimization range of engine, motor, driv... Aiming at the development of parallel hybrid electric vehicle (PHEV) powertrain, parameter matching and optimization are presented, According to the performance of PHEV, the optimization range of engine, motor, driveline gear ratio and battery parameters are determined. And then a two-level optimization problem is formulated based on analytical target cascading (ATC). At the system level, the optimization of the whole vehicle fuel economy is carried out, while the tractive performance is defined as the constraints. The optimized parameters are cascaded to the subsystem as the optimization targets. At the subsystem level, the final drive and transmission design are optimized to make the ratios as close to the targets as possible. The optimization result shows that the fuel economy had improved significantly, while the tractive performance maintains the former level. 展开更多
关键词 parallel hybrid electric vehicle (PHEV) parameters matching OPTIMIZATION analytical target cascading (ATC) POWERTRAIN
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Powertrain design and energy management of a novel coaxial series-parallel plug-in hybrid electric vehicle 被引量:7
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作者 ZHANG LiPeng QI BingNan +2 位作者 ZHANG RunSheng LIU JingChao WANG LiQiang 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2016年第4期618-630,共13页
For a series plug-in hybrid electric vehicle,higher working efficiency can be achieved by the drive system with two small motors in parallel than that with one big motor alone.However,the overly complex structure will... For a series plug-in hybrid electric vehicle,higher working efficiency can be achieved by the drive system with two small motors in parallel than that with one big motor alone.However,the overly complex structure will inevitably lead to a substantial increase in the development cost.To improve the system price-performance ratio,a new kind of series-parallel hybrid system evolved from the series plug-in hybrid system is designed.According to the technical parameters of the selected components,the system model is established,and the vehicle dynamic property and pure electric drive economy are evaluated.Based on the dynamic programming,the energy management strategy for the drive system under the city driving cycle is developed,and the superiority validation of the system is completed.For the studied vehicle driven by the designed series-parallel plug-in hybrid system,compared with the one driven by the described series plug-in hybrid system,the dynamic property is significantly improved because of the multi-power coupling,and the fuel consumption is reduced by 11.4%with 10 city driving cycles.In a word,with the flexible configuration of the designed hybrid system and the optimized control strategy of the energy management,the vehicle performance can be obviously improved. 展开更多
关键词 plug-in hybrid electric vehicle series-parallel hybrid system multi-power coupling dynamic programming energymanagement
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