Review and analysis of algorithms for the driving condition prediction and its applications

International audienceAs the fundamental of predictive energy management strategies (PEMSs) for Hybrid Electric Vehicles (HEV), the route prediction accuracy has significant effects on the performance of the corresponding PEMSs, i.e. fuel economy. This paper presents a comprehensive review on the existing prediction algorithms for future driving conditions (FDCs). In the first part, a novel classification of existing energy management strategies (EMS) for HEVs is proposed. And then, the review on existing of FDCs prediction method is carried out. Finally, these prediction methods are classified and their advantages and disadvantages are compared and summarized. Generally speaking, this paper not only conducts a comprehensive analysis and review on existing prediction algorithms but also summarizes their own characteristics, which will help prospective researchers to choose appropriateapproaches to seek further performance gaining of PEMSs