Personalized Driving Behavior Monitoring and Analysis for Emerging Hybrid Vehicles Kun Li 1 , Man Lu 1 , Fenglong Lu 1 , Qin Lv 2 , Li Shang 1 , and Dragan Maksimovic 1 1 Department of Electrical, Computer, and Energy Engineering, 2 Department of Computer Science University of Colorado Boulder, CO 80309 USA {kun.li,man.lu,fenglong.lu,qin.lv,li.shang,maksimov}@colorado.edu Abstract. Emerging electric-drive vehicles, such as hybrid electric vehi- cles (HEVs) and plug-in HEVs (PHEVs), hold the potential for substantial reduction of fuel consumption and greenhouse gas emissions. User driv- ing behavior, which varies from person to person, can significantly affect (P)HEV operation and the corresponding energy and environmental im- pacts. Although some studies exist that investigate vehicle performance under different driving behaviors, either directed by vehicle manufactur- ers or via on-board diagnostic (OBD) devices, they are typically vehicle- specific and require extra device/effort. Moreover, there is no or very lim- ited feedback to an individual driver regarding how his/her personalized driving behavior affects (P)HEV performance. This paper presents a personalized driving behavior monitoring and anal- ysis system for emerging hybrid vehicles. Our design is fully automated and non-intrusive. We propose phone-based multi-modality sensing that captures precise driver–vehicle information through de-noise, calibration, synchro- nization, and disorientation compensation. We also provide quantitative driver-specific (P)HEV analysis through operation mode classification, en- ergy use and fuel use modeling. The proposed system has been deployed and evaluated with real-world user studies. System evaluation demon- strates highly-accurate (0.88-0.996 correlation and low error) driving be- havior sensing, mode classification, energy use and fuel use modeling. 1 Introduction Energy use for transportation represents a pressing challenge, due to the heavy and growing reliance on petroleum and the environmental impacts of emis- sions from fossil fuel combustion. Recent studies have shown that transportation electrification, such as (P)HEVs, holds the potential to significantly reduce green- house gas emissions and the ever-growing dependence on oil [22]. (P)HEVs in- tegrate an internal combustion engine (ICE) powered by gasoline with an elec- tric motor powered by the battery system. Active market penetration of HEVs, such as Toyota Prius and Ford Escape, has been observed in recent years. Auto- mobile manufacturers are poised to introduce new models of PHEVs and their market penetration is expected to increase rapidly in the coming years.