Model predictive control of a DC–DC converter for battery emulation
A battery emulator is used instead of a real traction battery to supply an electric motor inverter on a test bed for hybrid and electric powertrains under deterministic conditions. The use of virtual battery models eliminates the need for expensive battery prototypes. Virtual battery properties such...
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| Published in | Control engineering practice Vol. 21; no. 4; pp. 428 - 440 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.04.2013
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0967-0661 1873-6939 |
| DOI | 10.1016/j.conengprac.2012.12.009 |
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| Abstract | A battery emulator is used instead of a real traction battery to supply an electric motor inverter on a test bed for hybrid and electric powertrains under deterministic conditions. The use of virtual battery models eliminates the need for expensive battery prototypes. Virtual battery properties such as chemistry, state of charge or state of health can be changed instantly. However, the control of a battery emulator is a challenging problem. Very fast reference tracking is required for battery impedance emulation but motor inverters act as constant power loads that have a negative influence on the tracking performance and can even lead to instability. In this paper an MPC strategy is proposed for solving this problem. Scheduling of local controllers is utilized in order to handle the nonlinear and destabilizing load. Furthermore, a fast algorithm is presented that allows real-time MPC subject to input and output constraints. Experimental results obtained with a battery emulator supplying an electric drive inverter demonstrate the performance of the stabilizing controller.
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►A battery emulator allows repeatable testing of hybrid and electric powertrains. ► Nonlinear battery models are used to replicate the dynamics of traction batteries. ► A model predictive controller is used to track the simulated battery voltage. ► MPC offers stabilizing control while handling voltage and current constraints. ► For real-time computation of the constrained MPC, a suitable algorithm is presented. |
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| AbstractList | A battery emulator is used instead of a real traction battery to supply an electric motor inverter on a test bed for hybrid and electric powertrains under deterministic conditions. The use of virtual battery models eliminates the need for expensive battery prototypes. Virtual battery properties such as chemistry, state of charge or state of health can be changed instantly. However, the control of a battery emulator is a challenging problem. Very fast reference tracking is required for battery impedance emulation but motor inverters act as constant power loads that have a negative influence on the tracking performance and can even lead to instability. In this paper an MPC strategy is proposed for solving this problem. Scheduling of local controllers is utilized in order to handle the nonlinear and destabilizing load. Furthermore, a fast algorithm is presented that allows real-time MPC subject to input and output constraints. Experimental results obtained with a battery emulator supplying an electric drive inverter demonstrate the performance of the stabilizing controller.
[Display omitted]
►A battery emulator allows repeatable testing of hybrid and electric powertrains. ► Nonlinear battery models are used to replicate the dynamics of traction batteries. ► A model predictive controller is used to track the simulated battery voltage. ► MPC offers stabilizing control while handling voltage and current constraints. ► For real-time computation of the constrained MPC, a suitable algorithm is presented. |
| Author | Jakubek, Stefan König, Oliver Gregorčič, Gregor |
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| Keywords | Traction battery emulation Battery model Real time systems Hybrid powertrain testing Model predictive control Stability |
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