Abstract
Energy management strategies (EMSs) are critical for the improvement of fuel economy of plug-in hybrid electric vehicles (PHEVs). However, conventional EMSs hardly consider the influence of uphill terrain on the fuel economy and battery life, leaving vehicles with insufficient battery power for continuous uphill terrains. Hence, in this study, an optimal control strategy for a PHEV based on the road grade information is proposed. The target state of charge (SOC) is estimated based on the road grade information as well as the predicted driving cycle on uphill road obtained from the GPS/GIS system. Furthermore, the trajectory of the SOC is preplanned to ensure sufficient electricity for the uphill terrain in the charge depleting (CD) and charge sustaining (CS) modes. The genetic algorithm is applied to optimize the parameters of the control strategy to maintain the SOC of battery in the CD mode. The pre-charge mode is designed to charge the battery in the CS mode from a reasonable distance before the uphill terrain. Finally, the simulation model of the powertrain system for the PHEV is established using MATLAB/Simulink platform. The results show that the proposed control strategy based on road-grade information helps successfully achieve better fuel economy and longer battery life.
Highlights
Plug-in hybrid electric vehicles (PHEVs) achieve a longer all-electric range (AER) with a higher battery capacity compared to conventional hybrid electric vehicles (HEVs)
This study focuses on two problems for the basic control strategy while driving continuously uphill
The the following wasThe conducted in this study: is obtained from the GPS system, and the driving cycles on the uphill road are predicted through the average velocity of the traffic obtained from the GIS system
Summary
Plug-in hybrid electric vehicles (PHEVs) achieve a longer all-electric range (AER) with a higher battery capacity compared to conventional hybrid electric vehicles (HEVs). On the other hand, when the vehicle is driven only by the engine, both the power of the vehicle as well as the fuel economy are affected, because the engine cannot be ensured to operate in the high-efficiency region To solve this problem, there are two major solutions: (1) maintaining the minimum boundary of the SOC at a higher level in mountainous terrain, such as 50%, to avoid excessive battery discharge during the hybrid driving phase in the CS mode [24]. An optimal EMS for the PHEV based on the road-grade information is proposed to improve both the fuel economy and battery life.
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