Longitudinal Vehicle Dynamics Modeling and Parameter Estimation for Plug-in Hybrid Electric Vehicle

被引：6

作者：

Buggaveeti S. ^{[1
]}

Batra M. ^{[1
]}

McPhee J. ^{[1
]}

Azad N. ^{[1
]}

机构：

[1] University of Waterloo, Canada

来源：

SAE International Journal of Vehicle Dynamics, Stability, and NVH | 2017年 / 1卷 / 02期

关键词：

Cost effectiveness - Dynamics - Electric machine control - Energy management systems - Battery management systems - Plug-in hybrid vehicles - Adaptive control systems - Traction control - Global positioning system;

D O I：

10.4271/2017-01-1574

中图分类号：

学科分类号：

摘要：

System identification is an important aspect in model-based control design which is proven to be a cost-effective and time saving approach to improve the performance of hybrid electric vehicles (HEVs). This study focuses on modeling and parameter estimation of the longitudinal vehicle dynamics for Toyota Prius Plug-in Hybrid (PHEV) with power-split architecture. This model is needed to develop and evaluate various controllers, such as energy management system, adaptive cruise control, traction and driveline oscillation control. Particular emphasis is given to the driveline oscillations caused due to low damping present in PHEVs by incorporating flexibility in the half shaft and time lag in the tire model. Accurate and reliable vehicle dynamics parameters that control the vehicle motion are estimated by acquiring experimental data from longitudinal maneuvers of the PHEV equipped with a vehicle measurement system (VMS), global positioning system (GPS) and inertial measurement unit (IMU). The simulated model with estimated parameters is analyzed for longitudinal dynamics by comparing with experimental data from on-road testing. © 2017 SAE International.

引用

页码：289 / 297

页数：8

共 10 条

[1]

Taghavipour A., Real-Time Optimal Energy Management System for Plug-in Hybrid Electric Vehicles, (2014)

[2]

Syed F.U., Kuang M.L., Ying H., Active Damping Wheel-Torque Control System to Reduce Driveline Oscillations in Power-Split Hybrid Electric Vehicle, IEEE Trans. Veh. Technol, 58, pp. 4769-4875, (2009)

[3]

Andretta D., Heydinger G., Bixel R., Coovert D., Inertia Measurements of Large Military Vehicles, SAE Technical Paper 2001-01-0792, (2001)

[4]

Batra M., Azad N.L., McPhee J., Parameter Identification for Longitudinal Dynamics Model Based on Road Tests of an Electric Vehicle, ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference

[5]

A&D Brochure for Vehicle Measurement System, (2016)

[6]

Pacejka H., Tire and Vehicle Dynamics, (2005)

[7]

MATLAB Documentation (Ver 2.8), (2016)

[8]

Emam M., A New Empirical Formula for Calculating Vehicles Frontal Area, SAE Technical Paper 2011-01-0763, (2011)

[9]

Automobile Drag Coefficient, (2017)

[10]

Pacejka H.B., Bakker E., The Magic Formula Tyre Model, Vehicle System Dynamics, 21, S1, pp. 1-18, (1992)

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