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Gain-Scheduled Control of Modular Battery for Thermal and SOC Balancing

Faisal Altaf (Institutionen för signaler och system, Reglerteknik) ; Bo Egardt (Institutionen för signaler och system, Reglerteknik)
8th IFAC Symposium on Advances in Automotive Control, 19-23 June, Norköping, Sweden (2405-8963). Vol. 49 (2016), 11, p. 62-69.
[Konferensbidrag, refereegranskat]

This paper proposes a simple constrained proportional controller with gain scheduling for simultaneous thermal and state-of-charge (SOC) balancing of a multilevel converter based modular battery. The proposed balancing controller is devised by investigating structural properties of constrained linear quadratic (LQ) model predictive controller (MPC) introduced in our earlier study. This investigation reveals a particular factorization of time-varying control gain matrices, which leads to approximation of matrix gains as scalar gains under the assumption of small parametric variations among battery cells. The gains are scheduled in load current for nominal cells. This special structure enables the identification of two dominant operational modes of the balancing controller: SOC balancing mode in low to medium load current range and thermal balancing mode in high current range. This study also proposes a simple algorithm for control projection on constraint polytope. The proposed balancing controller is tested in simulations for a modular battery with four significantly mismatched cells. The performance is comparable to MPC, which uses true battery parameters. The performance and the simplicity of the controller make it attractive for real-time implementation in large battery packs.

Nyckelord: Batteries; cell balancing; SOC balancing; thermal balancing; modular battery; multilevel converters; gain scheduling; LQ Control; model predictive control

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Denna post skapades 2016-01-22. Senast ändrad 2016-11-25.
CPL Pubid: 231166


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Institutioner (Chalmers)

Institutionen för signaler och system, Reglerteknik (2005-2017)


Hållbar utveckling

Chalmers infrastruktur

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