Fuel economy and NOx emission potential investigation and trade-off of a hybrid electric vehicle based on dynamic programming

作者：Ao, G Q; Qiang, J X; Zhong, H; Mao, X J; Yang, L^*; Zhuo, B

来源：Proceedings of the Institution of Mechanical Engineers - Part D: Journal of Automobile Engineering , 2008, 222(D10): 1851-1864.

DOI：10.1243/09544070JAUTO644

• hybrid electric vehicle
• global optimization
• dynamic programming algorithm
• weighted cost function

Hybrid electric vehicles (HEVs) combined with more than one power source offer additional flexibility to improve the fuel economy and to reduce pollutant emissions. The dynamic-programming-based supervisory controller (DPSC) presented here investigates the fuel economy improvement and emissions reduction potential and demonstrates the trade-off between fuel economy and the emission of nitrogen oxides (NOx) for a state-of-charge-sustaining parallel HEV. A weighted cost function consisting of fuel economy and emissions is proposed in this paper. Any possible engine-motor power pairs meeting with the power requirement is considered to minimize the weighted cost function over the given driving cycles through this dynamic program algorithm. The fuel-economy-only case, the NOx-only case, and the fuel-NOx case have been achieved by adjusting specific weighting factors, which demonstrates the flexibility and advantages of the DPSC. Compared with operating the engine in the NOx-only case, there is 17.4 per cent potential improvement in the fuel-economy-only case. The fuel-NOx case yields a 15.2 per cent reduction in NOx emission only at the cost of 5.5 per cent increase in fuel consumption compared with the fuel-economy-only case.

• 出版日期2008-10
• 单位上海交通大学