Numerical Evaluation of Fuel Consumption and Transient Emissions of Different Hybrid Topologies for Two-Wheeler Application

IF 0.7 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY SAE International Journal of Electrified Vehicles Pub Date : 2023-04-29 DOI:10.4271/14-12-03-0019
Pradeev Elango, Arulkumaran Mathivanan, Raghav Kakani, H. Das, Ramesh Asvathanarayanan
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Abstract

In Asian countries, small two-wheelers form a major share of the automobile segment and contribute significantly to carbon dioxide (CO2) emissions. Hybrid drives, though not widely applied in two-wheelers, can reduce fuel consumption and CO2 emissions. In this work three hybrid topologies, viz., P2 (electric motor placed between engine and transmission), P3 (electric motor placed between transmission and final drive), and power-split concepts (with planetary gear-train) have been modeled in Simulink, and their fuel consumption and emissions under the World Motorcycle Test Cycle (WMTC) have been evaluated. A physics-based model for the Continuously Variable Transmission (CVT) was used which is capable of predicting its transient characteristics. A map-based fuel consumption model and a Neural Network (NN)-based transient emission model were used for the engine. The NN-based transient emission model avoids the need to model the air path and fuel path in transient conditions, which is time consuming. The fueling characteristics of the Engine Control Unit (ECU) in transients need not be known if an NN model is built and tuned with sufficient experimental data. Several transient experiments were performed with speed-load profiles similar to the WMTC for tuning the NN emission models. Simulation results show that the P2 hybrid, P3 hybrid, and power-split drives have fuel economy benefits of about 27%, 37%, and 49%, respectively, compared to the conventional powertrain. However, nitrogen oxides (NOx) emissions are much higher for the hybrid powertrains due to the operation of the engine at higher load ranges for efficiency but are still within the prevailing BS6 Indian emission limits. A significant portion of the wheel energy input can be recovered through efficient regenerative braking in the WMTC. This will be even more significant under peak traffic city driving conditions. The belt losses in the CVT significantly reduce the potential benefits of the hybrid powertrain, and hence, an efficient transmission to replace it will be beneficial.
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两轮车不同混合动力拓扑的油耗与瞬态排放数值评价
在亚洲国家,小型两轮车占汽车市场的主要份额,并对二氧化碳(CO2)排放做出了重大贡献。混合动力驱动虽然没有广泛应用于两轮车,但可以减少燃料消耗和二氧化碳排放。在这项工作中,三种混合动力拓扑,即P2(电动机置于发动机和变速器之间),P3(电动机置于变速器和最终驱动之间)和动力分割概念(与行星齿轮传动系)在Simulink中进行了建模,并在世界摩托车测试周期(WMTC)下评估了它们的油耗和排放。针对无级变速器(CVT),建立了一种能够预测其暂态特性的物理模型。采用了基于地图的油耗模型和基于神经网络的瞬态排放模型。基于神经网络的瞬态排放模型避免了在瞬态条件下对空气路径和燃料路径进行建模的耗时问题。如果用足够的实验数据建立和调整神经网络模型,则无需知道发动机控制单元(ECU)瞬态加油特性。采用与WMTC相似的速度负载曲线进行了多次瞬态实验,以调整神经网络发射模型。仿真结果表明,与传统动力系统相比,P2混合动力系统、P3混合动力系统和功率分割驱动系统的燃油经济性分别提高了27%、37%和49%。然而,混合动力系统的氮氧化物(NOx)排放量要高得多,因为发动机在更高的负载范围内运行以提高效率,但仍在现行的BS6印度排放限值之内。在WMTC中,通过有效的再生制动,可以回收车轮能量输入的很大一部分。在交通高峰的城市驾驶条件下,这一点将更加明显。无级变速器中的皮带损耗大大降低了混合动力系统的潜在效益,因此,一种高效的变速器来取代它将是有益的。
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来源期刊
SAE International Journal of Electrified Vehicles
SAE International Journal of Electrified Vehicles Engineering-Automotive Engineering
CiteScore
1.40
自引率
0.00%
发文量
15
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