Abstract
Energy management strategy is very important for hydraulic hybrid vehicles to improve fuel economy. The rule-based energy management strategies are widely used in engineering practice due to their simplicity and practicality. However, their performances differ a lot from different parameters and control actions. A rule-based energy management strategy is designed in this paper to realize real-time control of a novel hydraulic hybrid vehicle, and a control parameter selection method based on dynamic programming is proposed to optimize its performance. Firstly, the simulation model of the hydraulic hybrid vehicle is built and validated by the data tested from prototype experimental platform. Based on the simulation model, the optimization method of dynamic programming is used to find the global optimal solution of the engine control for the UDDS drive cycle. Then, the engine control parameters of the rule-based energy management strategy are selected according to the engine control trajectory of the global optimal solution. The simulation results show that the 100 km fuel consumption of the proposed rule-based energy management strategy is 12.7L, which is very close to the global optimal value of 12.4L and is suboptimal.
Highlights
Hybrid vehicles are widely concerned due to the advantages included improving fuel economy, reducing harmful emission, and the freedom to be optimized [1,2,3]
Hydraulic accumulator is superior to others, which has the high efficiency of braking energy recovery
According to the certain energy management strategy, the engine control parameters are determined based on the running situation of the Hydraulic Hybrid Wheel Drive Vehicle (HHWDV) at each time
Summary
Hybrid vehicles are widely concerned due to the advantages included improving fuel economy, reducing harmful emission, and the freedom to be optimized [1,2,3]. Heuristic rules or fuzzy logic rules are used to determine the control variable output according to pre-set conditions It mainly includes state machine control, threshold control, and power tracking control to ensure that the main components work in the most efficient area. The conventional wisdom is that engine operates at the “sweet spot” which lacks mathematical basis and it cannot perform the full potentiality of HHVs. the results of the rule-based energy management strategy still have big difference to the global optimal solution. A rule-based energy management strategy is designed to realize real-time and suboptimal control of a novel hydraulic hybrid vehicle. The rule-based energy management strategy is compared with the global optimal solution in the end
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