This paper presents control strategies for a Hybrid Electric Vehicle (HEV) aiming at fuel and battery consumption reduction in real life conditions. For years, car manufacturers have modeled and simulated control strategies using standardized driving cycles based on theoretical speed values such as the NEDC in Europe, leaving important external parameters out of the equation. Establishing driving cycles made out of GPS acquisitions and segmenting them into road sections, classified in different categories depending on the input parameters, including slope, allows the creation of logic rules defining the driving mode to adopt in each situation. Using Fuzzy Logic, those rules can be interpreted and used to adapt the control strategy to road conditions, resulting in many strategies covering every kind of road segment and offering different opportunities of energy savings.
Brouk, S., Buey, M., Ly, S., Pedron, M., & Burgalat, S. (2015). Control strategies for hybrid vehicles in mountainous areas. In Procedia Computer Science (Vol. 60, pp. 284–291). Elsevier B.V. https://doi.org/10.1016/j.procs.2015.08.128