Nonlinear Model Predictive Control for a Simulated Reconfigurable Battery Pack

被引：6

作者：

Mondoha, Abouzede ^{[1
]}

Sabatier, Jocelyn ^{[2
]}

Lanusse, Patrick ^{[3
]}

Tippmann, Simon ^{[1
]}

Farges, Christophe ^{[2
]}

机构：

[1] Robert Bosch GmbH, Gerlingen, Germany

[2] Bordeaux Univ, Bordeaux, France

[3] Bordeaux INP, Bordeaux, France

来源：

IFAC PAPERSONLINE | 2021年 / 54卷 / 06期

关键词：

Li-ion batteries; modelling; combinatorial; binary control; closed-loop control; nonlinear control systems; model predictive control;

D O I：

10.1016/j.ifacol.2021.08.569

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Cells within the same battery pack age unequally fast due to the non-uniform manufacturing process, and inhomogeneous operating conditions, and environment. This paper proposes a nonlinear Model Predictive Control approach for optimal pack balancing while taking pack and cell limitations into account. The control is designed for a sophisticated battery pack, which is a pack augmented by semiconductor switches to vary the number of cells connected in series. This pack is usually composed of more cells than a conventional battery pack. Each serial cell in the pack can be activated or deactivated while keeping the serial connection. Simulation results based on a realistic mission profile illustrate the effectiveness of the proposed approach by optimizing the overall performance and degradation of the battery architecture. Copyright (C) 2021 The Authors.

引用

页码：353 / 358

页数：6

共 23 条

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