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| Title: | Computational reduction of optimal hybrid vehicle energy management | | | Authors: | C. Armenta, S. Delprat, R.R. Negenborn, A. Haseltalab, J. Lauber, M. Dambrine |
| | Conference: | 2021 American Control Conference (ACC'21) | | Address: | New Orleans, Louisiana | | Date: | May 2021 |
| | Abstract: | Pontryagin's Minimum Principle is a way of solving hybrid power train optimal energy management. This paper presents an improvement of a classical implementation. The core of this improvement consists in relaxing the tolerance on some intermediate steps of the algorithm in order to reduce the number of iterations and thereby reducing the number of operations required to compute an optimal solution. The paper describes both a classical implementation of Pontryagin's Minimum Principle as well as the improved version. Numerical simulations are conducted on an academic example to demonstrate the benefits of the proposed approach. |
| | Reference: | Computational reduction of optimal hybrid vehicle energy management. C. Armenta, S. Delprat, R.R. Negenborn, A. Haseltalab, J. Lauber, M. Dambrine. In Proceedings of the 2021 American Control Conference (ACC'21), New Orleans, Louisiana, pp. 1444-1449, May 2021. Published in IEEE Control Systems Letters. | | | Request: | A
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