Optimal Cell Balancing with Model-based Cascade Control by Duty Cycle Adaption

Caspar, Maurice; Hohmann, Soeren

doi:10.3182/20140824-6-za-1003.01613

Cited by 19 publications

(15 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The result is transfonned into a control input for the original system with (2). The sat uration (5) ensures that the inequality constraints are satisfied and the transfonnation (2) ensures that the equality constraints are met. Hence, the resulting back-transformed u is feasible.…”

Section: B High Level Controlmentioning

confidence: 99%

“…We propose a simplified control system that has a structure similar to [5]. First the balancing problem is transformed into a regulation problem.…”

Section: Introductionmentioning

confidence: 99%

“…The inputs u are subject to polyhedral constraints that dependent on the topology [4][5]. These constraints are written as the equality constraint Hequ = Keq and the inequality constraint Huu � Ku.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Simplified control for redistributive balancing systems using bidirectional flyback converters

McCurlie

Preindl

Malysz

et al. 2015

2015 IEEE Transportation Electrification Conference and Expo (ITEC)

View full text Add to dashboard Cite

Battery stacks with many cells per string require sophisticated balancing hardware for capacity maximization, safe operation, and extended lifetime. This paper proposes a sim plified control architecture for redistributive battery balancing topologies. A high level controller defines the link currents to be actuated by Ryback DC/DC converters. Linear transformations are used to rewrite the balancing problem as a regulation problem that can be solved with a saturated LQR. To reduce the overall system complexity and cost, the low-level control requirements are minimized using feedforward approaches based on pulse width and pulse frequency modulation. The control system is developed using MATLAB/SimulinkIPLECS and validated experimentally.

show abstract

Section: B High Level Controlmentioning

confidence: 99%

“…We propose a simplified control system that has a structure similar to [5]. First the balancing problem is transformed into a regulation problem.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Simplified control for redistributive balancing systems using bidirectional flyback converters

McCurlie

Preindl

Malysz

et al. 2015

2015 IEEE Transportation Electrification Conference and Expo (ITEC)

View full text Add to dashboard Cite

show abstract

“…Battery systems, with battery cells connected in series, can be described in form of a state space model [5], [8] x …”

Section: B Main Ideamentioning

confidence: 99%

“…The total amount of current charge is in focus and can be expressed by a mean current signal over time. A model of average input signals (mean currents [5], [8]) is used to enable simulating energy transfers by balancing during discharge by drive cycle profiles.…”

Section: B Main Ideamentioning

confidence: 99%

Comparison of Active Battery Balancing Systems

Caspar

Eiler

Hohmann

2014

2014 IEEE Vehicle Power and Propulsion Conference (VPPC)

Self Cite

View full text Add to dashboard Cite

A quantitative model-based comparison of 10 active balancing circuits is presented for equalizing imbalanced cell energies of lithium-ion batteries. A mean current model approach is introduced for active balancing to describe energy transfers between battery cells for long charge/discharge operation. A Thévenin model for 96 battery cells is used as a subsystem of a mid-size electric vehicle. In quasi-static simulations, FTP75 driving cycles are continuously repeated until the first cell is discharged from initial full charge. Simulation results are compared for cases of new and aged cells with different capacity distributions concerning equalization speeds and final differences of cell energy.

show abstract