Research on Optimal Torque Control of Turning Energy Consumption for EVs with Motorized Wheels

This paper aims to explore torque optimization control issue in the turning of EV (Electric Vehicles) with motorized wheels for reducing energy consumption in this process. A three-degree-of-freedom (3-DOF) vehicle dynamics model is used to analyze the total longitudinal force of the vehicle and exp...

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Autores principales:	Wen Sun, Juncai Rong, Junnian Wang, Wentong Zhang, Zidong Zhou
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	vehicle dynamics model torque vectoring distribution Genetic Algorithm-Particle Swarm Optimization Hybrid Algorithm torque optimization control strategy energy consumption Technology T
Acceso en línea:	https://doaj.org/article/9bec3eeb615c4e23a48bcefd02aca1e5
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spelling	oai:doaj.org-article:9bec3eeb615c4e23a48bcefd02aca1e52021-11-11T15:46:24ZResearch on Optimal Torque Control of Turning Energy Consumption for EVs with Motorized Wheels10.3390/en142169471996-1073https://doaj.org/article/9bec3eeb615c4e23a48bcefd02aca1e52021-10-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/6947https://doaj.org/toc/1996-1073This paper aims to explore torque optimization control issue in the turning of EV (Electric Vehicles) with motorized wheels for reducing energy consumption in this process. A three-degree-of-freedom (3-DOF) vehicle dynamics model is used to analyze the total longitudinal force of the vehicle and explain the influence of torque vectoring distribution (TVD) on turning resistance. The Genetic Algorithm-Particle Swarm Optimization Hybrid Algorithm (GA-PSO) is used to optimize the torque distribution coefficient offline. Then, a torque optimization control strategy for obtaining minimum turning energy consumption online and a torque distribution coefficient (TDC) table in different cornering conditions are proposed, with the consideration of vehicle stability and possible maximum energy-saving contribution. Furthermore, given the operation points of the in-wheel motors, a more accurate TDC table is developed, which includes motor efficiency in the optimization process. Various simulation results showed that the proposed torque optimization control strategy can reduce the energy consumption in cornering by about 4% for constant motor efficiency ideally and 19% when considering the motor efficiency changes in reality.Wen SunJuncai RongJunnian WangWentong ZhangZidong ZhouMDPI AGarticlevehicle dynamics modeltorque vectoring distributionGenetic Algorithm-Particle Swarm Optimization Hybrid Algorithmtorque optimization control strategyenergy consumptionTechnologyTENEnergies, Vol 14, Iss 6947, p 6947 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	vehicle dynamics model torque vectoring distribution Genetic Algorithm-Particle Swarm Optimization Hybrid Algorithm torque optimization control strategy energy consumption Technology T
spellingShingle	vehicle dynamics model torque vectoring distribution Genetic Algorithm-Particle Swarm Optimization Hybrid Algorithm torque optimization control strategy energy consumption Technology T Wen Sun Juncai Rong Junnian Wang Wentong Zhang Zidong Zhou Research on Optimal Torque Control of Turning Energy Consumption for EVs with Motorized Wheels
description	This paper aims to explore torque optimization control issue in the turning of EV (Electric Vehicles) with motorized wheels for reducing energy consumption in this process. A three-degree-of-freedom (3-DOF) vehicle dynamics model is used to analyze the total longitudinal force of the vehicle and explain the influence of torque vectoring distribution (TVD) on turning resistance. The Genetic Algorithm-Particle Swarm Optimization Hybrid Algorithm (GA-PSO) is used to optimize the torque distribution coefficient offline. Then, a torque optimization control strategy for obtaining minimum turning energy consumption online and a torque distribution coefficient (TDC) table in different cornering conditions are proposed, with the consideration of vehicle stability and possible maximum energy-saving contribution. Furthermore, given the operation points of the in-wheel motors, a more accurate TDC table is developed, which includes motor efficiency in the optimization process. Various simulation results showed that the proposed torque optimization control strategy can reduce the energy consumption in cornering by about 4% for constant motor efficiency ideally and 19% when considering the motor efficiency changes in reality.
format	article
author	Wen Sun Juncai Rong Junnian Wang Wentong Zhang Zidong Zhou
author_facet	Wen Sun Juncai Rong Junnian Wang Wentong Zhang Zidong Zhou
author_sort	Wen Sun
title	Research on Optimal Torque Control of Turning Energy Consumption for EVs with Motorized Wheels
title_short	Research on Optimal Torque Control of Turning Energy Consumption for EVs with Motorized Wheels
title_full	Research on Optimal Torque Control of Turning Energy Consumption for EVs with Motorized Wheels
title_fullStr	Research on Optimal Torque Control of Turning Energy Consumption for EVs with Motorized Wheels
title_full_unstemmed	Research on Optimal Torque Control of Turning Energy Consumption for EVs with Motorized Wheels
title_sort	research on optimal torque control of turning energy consumption for evs with motorized wheels
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/9bec3eeb615c4e23a48bcefd02aca1e5
work_keys_str_mv	AT wensun researchonoptimaltorquecontrolofturningenergyconsumptionforevswithmotorizedwheels AT juncairong researchonoptimaltorquecontrolofturningenergyconsumptionforevswithmotorizedwheels AT junnianwang researchonoptimaltorquecontrolofturningenergyconsumptionforevswithmotorizedwheels AT wentongzhang researchonoptimaltorquecontrolofturningenergyconsumptionforevswithmotorizedwheels AT zidongzhou researchonoptimaltorquecontrolofturningenergyconsumptionforevswithmotorizedwheels
_version_	1718434104091869184

Research on Optimal Torque Control of Turning Energy Consumption for EVs with Motorized Wheels

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