Full
Outline
To improve the fuel economy of fuel cell buses, an energy management strategy based on model predictive control was proposed to solve the problem that the rule-based energy management strategy depends on engineering experience and parameter calibration. This strategy was implemented in a layered control manner to reduce the amount of computation. At the top level, a dynamic programming energy management strategy was used to determine the best reference trajectory for the lithium battery's state-of-charge (SOC). At the bottom layer, radial basis function neural network was used to predict the future vehicle speed, with the goal of predicting the efficient output of fuel cell power and SOC to follow the best reference trajectory in the time domain. In addition, the optimal decision making on power distribution was solved by the quadratic programming algorithm. The determination of the speed prediction model and prediction time-domain, the influence of SOC reference trajectories on the proposed strategy, and the changes in SOC and fuel economy under different strategies were studied in detail. Results show that when the initial SOC is 0.7, the fuel economy under the proposed model predictive control-based strategy can reach more than 92.99% of the fuel economy under the dynamic programming strategy, which is at least 11.78% higher than that under the rule-based strategy. Furthermore, the proposed strategy exhibits better fuel economy as the initial SOC increases.
61
9
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62662699(Operation and Technical Support)
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
