Computational reduction of optimal hybrid vehicle energy management

被引：0

作者：

Armenta, Carlos ^{[1
]}

Delprat, Sebastien ^{[1
]}

Negenborn, Rudy R. ^{[2
]}

Haseltalab, Ali ^{[2
]}

Lauber, Jimmy ^{[1
]}

Dambrine, Michel ^{[1
]}

机构：

[1] Univ Polytech Hauts de France, LAMIH UMR CNRS 820, F-59313 Valenciennes, France

[2] Delft Univ Technol, Dept Marine & Transport Technol, Delft, Netherlands

来源：

2021 AMERICAN CONTROL CONFERENCE (ACC) | 2021年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Pontryagin's Minimum Principle is a way of solving hybrid powertrain 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.

引用

页码：1444 / 1449

页数：6

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