Scenario-oriented stacks allocation optimization for multi-stack fuel cell systems

Zhou, Su; Zhang, Gang; Fan, Lei; Gao, Jian-Hua; Pei, Fenglai

doi:10.1016/j.apenergy.2021.118328

Cited by 36 publications

(8 citation statements)

References 25 publications

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“…Suppose that under a certain high-power demand scenario (taking China world transient vehicle cycle (C-WTVC) as an example), the number of stacks is 3, and the total rated power is 210 kW (20, 70, 120 kW), which can meet the power demand. [30,31] The parameters of the air supply device for the MFCS are shown in Table 3.…”

Section: Air Supply Device For Mfcs Model Validationmentioning

confidence: 99%

Structural Design, Matching, and Analysis of Air Supply Devices for Multi‐Stack Fuel Cell Systems

et al. 2023

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The multi‐stack fuel cell system (MFCS) can be widely used in large E‐power generation scenarios because of its higher output power, efficiency and reliability, and air supply for integration in MFCS. To study the issue of air supply distribution for different stacks, two MFCS air supply systems with different structures are designed. For the air supply system, the pressurized air supply device is the core component, and its performance directly affects the efficiency, structural complexity, cost, and other indicators of the MFCS. According to the characteristics of different types of compressors, air compressors are selected for matching with air supply devices for MFCSs with different topologies. Furthermore, based on the established mathematical models, the pressurized air supply devices suitable for MFCSs are optimized matching from the perspectives of working condition adaptability, electrical power consumption, and maximum electrical power. It is shown in the results that the most energy‐saving scheme is the parallel air supply device for the MFCS matching screw‐type air compressor. Considering the complexity of the system structure and the cost, the best scheme is to match the integrated air supply device for the MFCS with piston‐type air compressors.

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Section: Air Supply Device For Mfcs Model Validationmentioning

confidence: 99%

Structural Design, Matching, and Analysis of Air Supply Devices for Multi‐Stack Fuel Cell Systems

et al. 2023

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“…The MFCS TMS established in this study is based on the optimized split-stack approach for single-stack selection and subsystem matching. [28,29] The multistack consists of three stacks with power ratings of 20, 70, and 120 kW, respectively, and the integrated topology of the MFCS TMS is composed of a coolant circulation pump, thermostat, shunt valve, mixer, deionizer, radiator, intercooler, and coolant storage tank (including heating unit), as shown in Figure 2. In MFCS, the power distribution among the individual stacks varies for different power levels of the single stack.…”

Section: Structure Of Mfcs Thermal Management Subsystemmentioning

confidence: 99%

Fault Diagnosis and Fault‐Tolerant Control Method for a Multistack Fuel Cell Thermal Management Subsystem

et al. 2023

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Multistack fuel cell systems (MFCS) are promising developments of fuel cell technology. For MFCS, faults affect durability and stability, and appropriate fault diagnosis methods and control strategies need to be proposed for different multistack structures. Herein, the integrated MFCS thermal management subsystem (TMS), which is based on the optimized split‐stack approach, is first studied, and its possible sensor and actuator faults are analyzed. The sensor fault signal is corrected based on the unscented Kalman filter (UKF), the controller design under the hardware in the loop platform is carried out, and an active fault‐tolerant control (FTC) strategy based on sliding mode control is deployed for the TMS to enable it to recover its performance quickly and effectively in case of faults. The results show that the estimated values are closer to the true values after using the UKF on the sensor signals, avoiding the impact of sensor faults on the system performance. Under New European Driving Cycle dynamic conditions, the FTC controller also exhibits better control compared to the conventional proportional–integral controller, with smaller maximum overshoot and shorter system recovery and stabilization time in the event of a TMS fault, mitigating the impact of system fault on performance.

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“…The FCS suffers from a slow dynamic response and requires a couple with ESS for the application. The efficiency of a hybrid energy system (HES) mostly relies on the power allocation strategy 4 .…”

Section: Introductionmentioning

confidence: 99%

A power allocation strategy for fuel cell ship considering fuel cell performance difference

Cao

Geng

et al. 2023

Sci Rep

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This paper focuses on designing a power allocation strategy for a fuel cell ship. The performance of the fuel cell varies during operation, so a power allocation strategy considering fuel cell performance differences is proposed, which consists of two layers. In the first layer, the maximum power and maximum efficiency of each fuel cell system (FCS) are updated in real-time with an online parameter identification model, which is composed of the fuel cell semi-empirical model and adaptive Kalman filter. The second layer takes the state of charge of the battery energy storage system, the maximum power, and the maximum efficiency as inputs for power allocation. Compared with the equal allocation strategy and daisy chain strategy, the total hydrogen consumption reduces by 5.3% and 15.1% and the total output power of the FCS with poor performance reduces by 14.1% and 15.7%. The results show that the proposed method can improve the efficiency of the ship power system and reduce the operational burden of the FCS with poor performance.

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Scenario-oriented stacks allocation optimization for multi-stack fuel cell systems

Cited by 36 publications

References 25 publications

Structural Design, Matching, and Analysis of Air Supply Devices for Multi‐Stack Fuel Cell Systems

Structural Design, Matching, and Analysis of Air Supply Devices for Multi‐Stack Fuel Cell Systems

Fault Diagnosis and Fault‐Tolerant Control Method for a Multistack Fuel Cell Thermal Management Subsystem

A power allocation strategy for fuel cell ship considering fuel cell performance difference

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