Abstract
In order to improve fuel economy and enhance operating efficiency of fuel cell hybrid vehicles (FCHVs), fuzzy logic control (FLC) strategies are available and suggested for adoption. In this paper, the powertrain of a fuel cell hybrid vehicle is designed and the parameters of the motor, battery, and fuel cell are calculated. The FLC strategy and the power following control (PFC) strategy are designed for the studied FCHV. A secondary development for Advanced Vehicle Simulator (ADVISOR) is implemented based on the standard driving cycles, and a Chinese typical city driving cycle is imported. Simulation results demonstrate that the proposed FLC strategy is more valid and reasonable than the traditional PFC strategy. The proposed FLC strategy affects the vehicle characteristics significantly and contributes to better performance in four aspects: fuel economy, efficiency of battery and fuel cell system, battery state of charge (SOC), and battery life. Hence, the FLC strategy is more suitable for the energy management strategy for fuel cell and battery hybrid vehicles.
Highlights
In the past few decades, fossil fuels have been widely used as the power source of ordinary internal combustion engine, which has caused lots of negative effects, such as the gradual depletion of oil resources, the deepening of the global energy crisis, the aggravation of air pollution, and the rise of global temperature
The fuel cell comes into operation and charges the battery
fuzzy logic control (FLC) strategy and power following control (PFC) strategy are designed for the studied fuel cell hybrid vehicles (FCHVs)
Summary
In the past few decades, fossil fuels have been widely used as the power source of ordinary internal combustion engine, which has caused lots of negative effects, such as the gradual depletion of oil resources, the deepening of the global energy crisis, the aggravation of air pollution, and the rise of global temperature. Aiming at improving power performance and fuel economy a hierarchical energy management system based on low-pass filter and equivalent consumption minimization (ECMS) was developed by Fu [13] et al. To reduce the hydrogen consumption and battery contribution Odeim et al [14] proposed a real-time strategy based on an offline algorithm. Fu et al [22] presented an optimized frequency decoupling energy management strategy that utilized the fuzzy logic control and adopted genetic algorithm to optimize the performance of the FCHV. A fuzzy logic control (FLC) method is proposed to design appropriate energy management strategy, vehicle performance including fuel economy, efficiency of battery and fuel cell system, battery SOC, and battery life are analyzed. To comprehensively examine the proposed energy management system, four cycle conditions are selected to evaluate and analyze the FCHV performance
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