Hybrid electric vehicle data-driven insights on hot-stabilized exhaust emissions and driving volatility

Abstract

Despite the fuel use and emission benefits of hybrid electric vehicles (HEVs), few studies have characterized in detail emission patterns and driving volatility profiles from HEVs in different road types under real-world driving conditions. This article examined the relationship between hot-stabilized emissions, engine variables, internal combustion engine status, roadway characteristics, and vehicular jerk types. Data were collected from a Toyota HEV subcompact on a driving route over rural, urban, and highway roads in the Aveiro region (Portugal). Driving volatility was represented by six driving styles based on combinations of acceleration/deceleration and vehicular jerk. Clustering and Disjoint Principal Component Analysis (CDPCA) was applied to extract principal components and identify specific clusters among variables. Both route type and internal combustion engine (ICE) operating behavior showed to have an impact on the distribution of vehicular jerk types. The proposed CDPCA constrained to the road sector exhibited different shapes in the clusters of the jerk types between ICE operation status. This article can provide insights into emissions monitoring analysis of the new generation of HEVs about the description of volatile driving behaviors.