Study of a parallel hybrid electric vehicle performance by means of rules-based control strategies

The power required for hybrid vehicle traction must be well distributed between the different power sources to improve the parallel hybrid electric vehicle (PHEV) performance. Energy management is carried out by applying a control strategy in the vehicle's traction chain. Energy management control strategies (EMCS) have different performance and can be classified into different categories. The objective of this article is to compare the fuel consumption and the polluting emissions of a PHEV controlled by two types of EMCS, the electric assistance control strategy (EACS) and the fuzzy logic control strategy (FLCS), in urban and highway driving cycles. The EMCS must, in all cases and at all times, ensure an efficient distribution of power between the internal combustion engine (ICE) and the electric motor (EM), to meet energy needs and improve vehicle performance by minimizing gas emissions and fuel consumption.