基于瞬态修正的车辆燃油消耗模型建模

针对稳态油耗特性的稳态模型使得车辆工作在瞬态条件时的油耗估计与实际燃油消耗偏差较大的问题.在稳态油耗模型的基础上引入瞬态修正模块，建立了一种新的瞬态油耗模型BIT-TFCM.利用真实油耗数据对BIT-TFCM做了验证.结果表明，引入瞬态修正模块后，BIT-TFCM的平均预测误差比没有瞬态修正的稳态模型低了约11.44%~19.28%.此外，与经典的VT-Micro模型相比，BIT-TFCM预测更接近实测值. 

Transient Fuel Consumption Modelling Based on Transient Correction

Fuel consumption models have emerged as an effective tool for the development and assessment of new vehicle technologies. However, most existing fuel consumption models are based on steady-state fuel consumption map. They are not able to precisely predict vehicle fuel consumption under transient conditions. To solve this problem, a transient fuel consumption model called BIT-TFCM was developed by introducing appropriate transient corrections based on the steady-state fuel consumption models. The BIT-TFCM model was validated with experimental data. And the results show that the model accuracy can be improved significantly by introducing transient corrections. The mean absolute percentage error of the BIT-TFCM is approximately 11.44%~19.28% lower than that of steady-state model. Moreover, the prediction results of the BIT-TFCM model are more accurate than the classic VT-Micro model.