Optimization of a dual-motor coupled powertrain energy management strategy for a battery electric bus

Wenwei Wang; Junhui Shi; Zhipeng Zhang; Cheng Lin

doi:10.1016/j.egypro.2018.04.005

Optimization of a dual-motor coupled powertrain energy management strategy for a battery electric bus

Wenwei Wang, Junhui Shi^*, Zhipeng Zhang, Cheng Lin

^*Corresponding author for this work

School of Mechanical Engineering

Research output: Contribution to journal › Conference article › peer-review

13 Citations (Scopus)

Abstract

As the global environment and energy problems become increasingly serious, electric vehicles are expected to play an important role in current and future transportation. In this paper, the configuration of a coaxial series dual-motor coupled propulsion system is analysed, and the optimization objective function is obtained for a power management strategy in which the control strategy is extracted using Dynamic Programming (DP). The simulation model of the powertrain is tested in MATLAB with different strategies under standard driving cycles. The control strategies extracted from DP (DP-based strategy) reduces the energy consumption by 8.8% compared with the traditional proportional control strategy which simply distributes torques of the two electric motors according to default ratios.

Original language	English
Pages (from-to)	20-25
Number of pages	6
Journal	Energy Procedia
Volume	145
DOIs	https://doi.org/10.1016/j.egypro.2018.04.005
Publication status	Published - 2018
Event	2017 Applied Energy Symposium and Forum, REM 2017 - Tianjin, China Duration: 18 Oct 2017 → 20 Oct 2017

Keywords

Dual-motor coupled powertrain
battery electric bus
dynamic programming
energy management strategy
simulation analysis

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.egypro.2018.04.005

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title = "Optimization of a dual-motor coupled powertrain energy management strategy for a battery electric bus",

abstract = "As the global environment and energy problems become increasingly serious, electric vehicles are expected to play an important role in current and future transportation. In this paper, the configuration of a coaxial series dual-motor coupled propulsion system is analysed, and the optimization objective function is obtained for a power management strategy in which the control strategy is extracted using Dynamic Programming (DP). The simulation model of the powertrain is tested in MATLAB with different strategies under standard driving cycles. The control strategies extracted from DP (DP-based strategy) reduces the energy consumption by 8.8% compared with the traditional proportional control strategy which simply distributes torques of the two electric motors according to default ratios.",

keywords = "Dual-motor coupled powertrain, battery electric bus, dynamic programming, energy management strategy, simulation analysis",

author = "Wenwei Wang and Junhui Shi and Zhipeng Zhang and Cheng Lin",

note = "Publisher Copyright: {\textcopyright} 2018 The Authors. Published by Elsevier Ltd.; 2017 Applied Energy Symposium and Forum, REM 2017 ; Conference date: 18-10-2017 Through 20-10-2017",

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language = "English",

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T1 - Optimization of a dual-motor coupled powertrain energy management strategy for a battery electric bus

AU - Wang, Wenwei

AU - Shi, Junhui

AU - Zhang, Zhipeng

AU - Lin, Cheng

PY - 2018

Y1 - 2018

N2 - As the global environment and energy problems become increasingly serious, electric vehicles are expected to play an important role in current and future transportation. In this paper, the configuration of a coaxial series dual-motor coupled propulsion system is analysed, and the optimization objective function is obtained for a power management strategy in which the control strategy is extracted using Dynamic Programming (DP). The simulation model of the powertrain is tested in MATLAB with different strategies under standard driving cycles. The control strategies extracted from DP (DP-based strategy) reduces the energy consumption by 8.8% compared with the traditional proportional control strategy which simply distributes torques of the two electric motors according to default ratios.

AB - As the global environment and energy problems become increasingly serious, electric vehicles are expected to play an important role in current and future transportation. In this paper, the configuration of a coaxial series dual-motor coupled propulsion system is analysed, and the optimization objective function is obtained for a power management strategy in which the control strategy is extracted using Dynamic Programming (DP). The simulation model of the powertrain is tested in MATLAB with different strategies under standard driving cycles. The control strategies extracted from DP (DP-based strategy) reduces the energy consumption by 8.8% compared with the traditional proportional control strategy which simply distributes torques of the two electric motors according to default ratios.

KW - Dual-motor coupled powertrain

KW - battery electric bus

KW - dynamic programming

KW - energy management strategy

KW - simulation analysis

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DO - 10.1016/j.egypro.2018.04.005

M3 - Conference article

AN - SCOPUS:85056552678

SN - 1876-6102

VL - 145

SP - 20

EP - 25

JO - Energy Procedia

JF - Energy Procedia

T2 - 2017 Applied Energy Symposium and Forum, REM 2017

Y2 - 18 October 2017 through 20 October 2017

ER -

Optimization of a dual-motor coupled powertrain energy management strategy for a battery electric bus

Abstract

Keywords

UN SDGs

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