Optimal sizing of diesel-electric hybrid powertrain for locomotive
The sizing parameters of the hybrid powertrain affect the life cycle cost of locomotives, which is critical for the development of hybrid locomotives. Although the traditional bi-loop optimal sizing method can generate the optimal parameters, the dynamic programming algorithms used as the inner-loop...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Electric Drive for Locomotives
2022-05-01
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| Series: | 机车电传动 |
| Subjects: | |
| Online Access: | http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128X.2022.03.012 |
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| Summary: | The sizing parameters of the hybrid powertrain affect the life cycle cost of locomotives, which is critical for the development of hybrid locomotives. Although the traditional bi-loop optimal sizing method can generate the optimal parameters, the dynamic programming algorithms used as the inner-loop to improve energy management strategy results in a long computation time. A fast bi-loop optimal sizing method was proposed in this paper. In the outer loop, the particle swarm algorithm was applied to optimize the sizing parameters, aimed at reducing the life cycle cost. In the inner loop, the Pontryagin’s minimum principle (PMP) was applied to optimize the energy management for each sizing parameter generated in the outer loop, aimed at reducing train fuel consumption and improving battery life. Then the optimal results were fed back to the outer loop. It was shown from simulations that the fast bi-loop optimal sizing method proposed in this paper can not only generate the same optimal sizing parameters as the traditional bi-loop optimal sizing method, but also significantly improve the computation speed. |
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| ISSN: | 1000-128X |