Lateral Stability Control of Four-Wheel Independent Drive Electric Vehicles Based on Model Predictive Control
Four-wheel independent drive electric vehicle was used as the research object to discuss the lateral stability control algorithm, thus improving vehicle stability under limit conditions. After establishing hierarchical integrated control structure, we designed the yaw moment decision controller base...
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Hindawi Limited
2018-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2018/6080763 |
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doaj-fc9c195e3c2e433c905fed89c153fd852020-11-25T00:14:46ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472018-01-01201810.1155/2018/60807636080763Lateral Stability Control of Four-Wheel Independent Drive Electric Vehicles Based on Model Predictive ControlBin Huang0Sen Wu1Song Huang2Xiang Fu3Hubei Key Laboratory of Advanced Technology of Automobile Parts, School of Automotive Engineering, Wuhan University of Technology, Wuhan 430070, ChinaHubei Key Laboratory of Advanced Technology of Automobile Parts, School of Automotive Engineering, Wuhan University of Technology, Wuhan 430070, ChinaHubei Key Laboratory of Advanced Technology of Automobile Parts, School of Automotive Engineering, Wuhan University of Technology, Wuhan 430070, ChinaHubei Key Laboratory of Advanced Technology of Automobile Parts, School of Automotive Engineering, Wuhan University of Technology, Wuhan 430070, ChinaFour-wheel independent drive electric vehicle was used as the research object to discuss the lateral stability control algorithm, thus improving vehicle stability under limit conditions. After establishing hierarchical integrated control structure, we designed the yaw moment decision controller based on model predictive control (MPC) theory. Meanwhile, the wheel torque was assigned by minimizing the sum of consumption rates of adhesion coefficients of four tires according to the tire friction ellipse theory. The integrated simulation platform of Carsim and Simulink was established for simulation verification of yaw/rollover stability control algorithm. Then, we finished road experiment verification of real vehicle by integrated control algorithm. The result showed that this control method can achieve the expectation of effective vehicle tracking, significantly improving the lateral stability of vehicle.http://dx.doi.org/10.1155/2018/6080763 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Bin Huang Sen Wu Song Huang Xiang Fu |
spellingShingle |
Bin Huang Sen Wu Song Huang Xiang Fu Lateral Stability Control of Four-Wheel Independent Drive Electric Vehicles Based on Model Predictive Control Mathematical Problems in Engineering |
author_facet |
Bin Huang Sen Wu Song Huang Xiang Fu |
author_sort |
Bin Huang |
title |
Lateral Stability Control of Four-Wheel Independent Drive Electric Vehicles Based on Model Predictive Control |
title_short |
Lateral Stability Control of Four-Wheel Independent Drive Electric Vehicles Based on Model Predictive Control |
title_full |
Lateral Stability Control of Four-Wheel Independent Drive Electric Vehicles Based on Model Predictive Control |
title_fullStr |
Lateral Stability Control of Four-Wheel Independent Drive Electric Vehicles Based on Model Predictive Control |
title_full_unstemmed |
Lateral Stability Control of Four-Wheel Independent Drive Electric Vehicles Based on Model Predictive Control |
title_sort |
lateral stability control of four-wheel independent drive electric vehicles based on model predictive control |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2018-01-01 |
description |
Four-wheel independent drive electric vehicle was used as the research object to discuss the lateral stability control algorithm, thus improving vehicle stability under limit conditions. After establishing hierarchical integrated control structure, we designed the yaw moment decision controller based on model predictive control (MPC) theory. Meanwhile, the wheel torque was assigned by minimizing the sum of consumption rates of adhesion coefficients of four tires according to the tire friction ellipse theory. The integrated simulation platform of Carsim and Simulink was established for simulation verification of yaw/rollover stability control algorithm. Then, we finished road experiment verification of real vehicle by integrated control algorithm. The result showed that this control method can achieve the expectation of effective vehicle tracking, significantly improving the lateral stability of vehicle. |
url |
http://dx.doi.org/10.1155/2018/6080763 |
work_keys_str_mv |
AT binhuang lateralstabilitycontroloffourwheelindependentdriveelectricvehiclesbasedonmodelpredictivecontrol AT senwu lateralstabilitycontroloffourwheelindependentdriveelectricvehiclesbasedonmodelpredictivecontrol AT songhuang lateralstabilitycontroloffourwheelindependentdriveelectricvehiclesbasedonmodelpredictivecontrol AT xiangfu lateralstabilitycontroloffourwheelindependentdriveelectricvehiclesbasedonmodelpredictivecontrol |
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1725388645913853952 |