Energy Consumption Analysis for Parallel PHEVs with Identifying Working Modes Based on Real-world Longitudinal Travel Data

Abstract:

In order to better understand the energy consumption performance of parallel plug-in hybrid electric vehicle （PHEV） and to analyze the impact factors under the hybrid driving mode， the working modes were identified for more accurate energy consumption analysis with real-world travel data. The methodology for identifying the different working modes is proposed. A multivariable non-linear regression model is used to analyze the effects of different factors on energy consumption rate （ECR）. Based on the analyses of real-world longitudinal travel data of 425 PHEVs in Shanghai， it is found that the energy consumption performance of a PHEV depends to a large extent on the driving environment and driving pattern and the energy cost of the PHEV is more effective compared to conventional fuel vehicles. The ECR of the sample PHEVs saves up to 37.9% compared to the conventional gasoline vehicle BYD Song， and is about 2.96 times of that for the Battery Electric Vehicle （BEV）. The speed and temperature have significant quadratic effects on ECR， and the acceleration rate has a strong linear positive effect.