A New Control Architecture for Robust Controllers in Rear Electric Traction Passenger HEVs

Coordinatively controlling the engine and several motor/generators (MGs) during a dynamic process is a challenging problem because they are coupled together by the electromechanical transmission (EMT) system and all of them have strong nonlinear characteristics. We develop a novel nonlinear optimal control approach based on the multiobjective dynamic optimization model of the hybrid electric vehicle (HEV), which is equipped with an EMT system. In this approach, the current states of the components are obtained by using the state observation algorithm based on Kalman filtering; the future states of the components and the feasible region of the control variables are estimated by using the dynamic prediction algorithm based on the nonlinear model of the EMT system. Then, the control variables are achieved by using the optimal decision algorithm based on the hierarchical optimization and nonlinear programming, and the influence of the model error and the external disturbance are modified by using the feedback compensation algorithm. The simulation results illustrate the efficiency of the proposed control approach, and the test results verify its real-time performance.

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“…Combining (22), (23), (24), and (25), the index function of the current supply capacity can be presented as…”

Section: Current Supply Capacitymentioning

confidence: 99%

“…To reduce the calculation time of the optimal control algorithms, some researchers have made significant attempts at different fields, such as robust control [25], intelligent control [26], game theory [27], and analytic and other methods [28,29]. These studies provide basis for the real-time implementation of the optimal control.…”

Section: Introductionmentioning

confidence: 99%

A Novel Nonlinear Optimal Control Approach for the Dynamic Process of a Hybrid Electric Vehicle Equipped with Electromechanical Transmission

Chen

Zhang

Zheng

et al. 2015

Mathematical Problems in Engineering

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“…When the side slip angle was large, the control effect was not effective [7,8] . Hua et al combined the electronic differential and yaw stability control, using the deviation between the yaw rate, side slip angle of the center of mass and the ideal value to design an additional yaw moment controller.…”

Section: Introductionmentioning

confidence: 99%

Research On Electronic Differential Control Strategy Of Distributed Electric Drive Vehicle Based On Torque Optimal Distribution

Liu¹,

Wang²,

He³

2021

Progress in Canadian Mechanical Engineering. Volume 4

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To improve the differential performance and lateral stability of distributed drive electric vehicles, this paper proposes an electronic differential control strategy for rear-wheel independent drive electric vehicles based on target torque secondary distribution. Firstly, according to the ideal motion states of the vehicle, the linear quadratic regulator (LQR) is used to calculate the additional required yaw moment, then, the orthogonal experimental method is applied to optimize the LQR parameters, and the target torque is allocated for the first time. Secondly, the target torque is redistributed by designing the functional relationship between the wheel sliding rate and the torque correction coefficient. Finally, the dynamics characteristics of the distributed electric vehicle with electronic differential control is simulated and analyzed in comparison with the traditional mechanical differential. The results show that the proposed electronic differential control strategy can not only achieve differential control well, but also the side slip angle and the yaw angle are reduced by up to 36.3% and 88.8% respectively, compared with the traditional vehicle. The proposed electronic differential control strategy ensures that the wheel sliding rate is always in the optimal sliding rate range, and greatly improves the vehicle lateral stability.

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“…The simulation results are verified by testing two 37-kW IMs. [9] presents a new EDS control architecture for the traction system in rear electric traction passenger hybrid electric vehicles (HEVs). The simulation results are tested successfully taking experimental results by a HEV in Low Scale (HELVIS)-Sim simulation.…”

Section: Introductionmentioning

confidence: 99%

Design of Electronic Differential System for an Electric Vehicle with in-wheel motor

Yıldırım

Öksüztepe

Tanyeri

et al. 2016

2016 IEEE Power and Energy Conference at Illinois (PECI)

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This paper presents design of Electronic Differential System (EDS) for an Electric Vehicle (EV) with inwheel motor. EDS is generally used in EVs due to some drawbacks of mechanical differential such as being heavy systems and mechanical losses caused by the powertrains. According to the turning angle of the wheel, task of EDS for front wheels is to adjust rpm of the wheels. On the contrary for rear wheels, only rpm control is realized due to not steering. Hence, there are less studies on EDS for front wheels of EV in the literature. In this study, an EDS for front wheels of EV is designed. According to steering angle and speed of EV, the speeds of the front wheels are estimated by equations derived from Ackermann-Jeantand model using Codesys Software Package. The estimated speeds are sent to Induction Motor (IM) Drives via Controller Area Network-Bus (CAN-Bus). EDS is also simulated by Matlab/Simulink. Then, the speeds of the front wheels are experimentally measured by a tachometer. Codesys results are verified by both Simulink and experimental results. It is observed that the designed EDS is convenient for EVs with inwheel motor.

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A New Control Architecture for Robust Controllers in Rear Electric Traction Passenger HEVs

Cited by 12 publications

References 21 publications

A Novel Nonlinear Optimal Control Approach for the Dynamic Process of a Hybrid Electric Vehicle Equipped with Electromechanical Transmission

A Novel Nonlinear Optimal Control Approach for the Dynamic Process of a Hybrid Electric Vehicle Equipped with Electromechanical Transmission

Research On Electronic Differential Control Strategy Of Distributed Electric Drive Vehicle Based On Torque Optimal Distribution

Design of Electronic Differential System for an Electric Vehicle with in-wheel motor

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