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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Bibliographic Details
Published in:	IEEE transactions on transportation electrification Vol. 8; no. 1; pp. 1501 - 1515
Main Authors:	Guo, Lulu, Yang, Bowen, Ye, Jin
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.03.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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
Online Access:	Get full text
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