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A Decentralized Energy Management Strategy for a Fuel Cell–Battery Hybrid Electric Vehicle Based on Composite Control

Qingchao Song, Lei Wang, Jiawei Chen

2020IEEE Transactions on Industrial Electronics37 citationsDOI

Abstract

Traditionally, the energy management objectives of a fuel cell-battery hybrid electric vehicle (FCBHEV) powertrain system is achieved by using the centralized control strategy, which suffers from poor flexibility, scalability, and reliability. What is worse, the system stability can hardly be guaranteed because of the serious interactions between the fuel cell (FC) as well as the battery converters and motor drive loads. In this article, a decentralized energy management strategy (EMS) based on a composite control scheme that combines mixed droop control and disturbance-observer-based control is proposed to achieve the dynamic load power allocation, extend the service life, improve the energy efficiency, enhance the robustness (i.e., realize the disturbance and uncertainty rejection), and guarantee the global stability of the FCBHEV powertrain system in a decentralized way simultaneously. First, the architecture of an FCBHEV powertrain system is described in detail. Then, analyses on the design and operating principle of the proposed EMS are deeply studied. Finally, a hardware-in-the-loop (HIL) real-time simulation system of a 50 kW FCBHEV powertrain system is established using the Typhoon HIL 602 device. The HIL simulation results verified the correctness of the theoretical analysis and effectiveness of the proposed EMS.

Topics & Concepts

PowertrainEnergy managementAutomotive engineeringEnergy management systemComputer scienceVoltage droopScalabilityEngineeringControl engineeringEnergy (signal processing)TorqueElectrical engineeringPhysicsDatabaseMathematicsStatisticsVoltage dividerThermodynamicsVoltageElectric and Hybrid Vehicle TechnologiesFuel Cells and Related MaterialsAdvanced Battery Technologies Research