Abstract

Power allocation plays an important and challenging role in fuel cell and supercapacitor hybrid electric vehicle because it influences the fuel economy significantly. We present a novel Q-learning strategy with deterministic rule for real-time hybrid electric vehicle energy management between the fuel cell and the supercapacitor. The Q-learning controller (agent) observes the state of charge of the supercapacitor, provides the energy split coefficient satisfying the power demand, and obtains the corresponding rewards of these actions. By processing the accumulated experience, the agent learns an optimal energy control policy by iterative learning and maintains the best Q-table with minimal fuel consumption. To enhance the adaptability to different driving cycles, the deterministic rule is utilized as a complement to the control policy so that the hybrid electric vehicle can achieve better real-time power allocation. Simulation experiments have been carried out using MATLAB and Advanced Vehicle Simulator, and the results prove that the proposed method minimizes the fuel consumption while ensuring less and current fluctuations of the fuel cell.

Highlights

  • Energy shortage, air pollution, and global warming have pushed the development of fuel cell (FC)-driven vehicles to replace pure fuel–driven vehicles.[1,2,3,4] possessing quick dynamic response and load-following ability is difficult for current FC.[5]

  • A novel QL method with deterministic rule is proposed for the real-time Hybrid electric vehicles (HEVs) energy management

  • To enhance the adaptation to different driving cycles, especially the extreme conditions, the deterministic rule is applied to the conventional QL algorithm as a complement to the policy

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Summary

Introduction

Air pollution, and global warming have pushed the development of fuel cell (FC)-driven vehicles to replace pure fuel–driven vehicles.[1,2,3,4] possessing quick dynamic response and load-following ability is difficult for current FC.[5] rapid load variation has bad effects on the lifetime of FC.[6] pure FC vehicles are still in their early development stages, which will probably last for the decade. A hybrid propulsion, such as the supercapacitor (SC), with fast charge/discharge attributes, long life cycles, and high power density seems to be the most economical and feasible solution so far. Hybrid electric vehicles (HEVs) composed of the FC and the SC may be a good choice. When HEV is in braking, climbing, or acceleration condition, SC can be used as a power buffer,[7,8,9] and the combination of FC and SC as the hybrid propulsion is an efficient way to overcome the slow dynamic response and rapid load variation while achieving braking energy recovery.[10,11] How to control the energy flow between the hybrid FC/SC has been the core issue

Literature review
Motivation and innovation
FC model
Findings
Conclusion
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