Predictive Energy Management for Dual-Motor BEVs Considering Temperature-Dependent Traction Inverter Loss

In this article, a predictive energy management system (EMS) for dual-motor battery electric vehicles (BEVs) is proposed, considering temperature-dependent traction inverter loss. First of all, we establish a high-fidelity BEV powertrain under a hardware-in-the-loop (HIL) testbed. The high-frequency...

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Veröffentlicht in:IEEE transactions on transportation electrification Jg. 8; H. 1; S. 1501 - 1515
Hauptverfasser: Guo, Lulu, Yang, Bowen, Ye, Jin
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 01.03.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Batteries
Biological system modeling
Dual-motor-driven electric vehicles (EVs)
Electric power loss
Electric vehicles
Energy management
energy management system (EMS)
fast solution of optimization problem
Inverters
Mechanical power transmission
model predictive control (MPC)
Optimization
Powertrain
Temperature dependence
Test stands
Torque
Traction
traction inverter loss
Transient current
Vehicle dynamics
ISSN:2332-7782, 2577-4212, 2332-7782
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Zusammenfassung:In this article, a predictive energy management system (EMS) for dual-motor battery electric vehicles (BEVs) is proposed, considering temperature-dependent traction inverter loss. First of all, we establish a high-fidelity BEV powertrain under a hardware-in-the-loop (HIL) testbed. The high-frequency switching of power electronics and electrothermal traction inverters is considered. Subsequently, because transient current and voltage-based electrothermal models in the literature are unsuitable for vehicle-level EMS design, we propose an innovative control-oriented inverter loss model and introduce approximate junction temperature dynamics in the predictive EMS. Then, based on Pontryagin's minimum principle, we propose a fast solution algorithm, making it possible to validate the EMS in a real-time HIL testbed. To the best of our knowledge, temperature-dependent traction inverter loss has not yet been studied in EMSs. The traction inverter loss model has been experimentally validated and used in the proposed predictive EMS to provide more comprehensive validation. Results have shown that the proposed predictive EMS can reduce the power loss by 5%-9% compared to the widely used instantaneous optimization-based controller in academia.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:2332-7782
2577-4212
2332-7782
DOI:10.1109/TTE.2021.3116883