Driving Control Algorithm for Maneuverability, Lateral Stability, and Rollover Prevention of 4WD Electric Vehicles With Independently Driven Front and Rear Wheels

-In this paper the construction of a model that represents the behavior of an Electric Vehicle is described. Both the mechanical and the electric traction systems are represented using Multi-Bond Graph structural approach suited to model large scale physical systems. Then the model of the controllers, represented with a functional approach, is included giving rise to an integrated model which exploits the advantages of both approaches. Simulation and experimental results are aimed to illustrate the electromechanical interaction and to validate the proposal.

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“…This feature allows the implementation of yaw stability control [29,30] using a simple strategy to estimate the sideslip angle [31].…”

Section: Electric Traction Systemmentioning

confidence: 99%

Simulation of Electric Vehicles Combining Structural and Functional Approaches

Silva¹,

Magallán²,

Barrera³

et al. 2014

Journal of Electrical Engineering and Technology

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“…However, the integrated control of the yaw rate and the sideslip angle is usually determined after the vehicle is judged to be losing stability. For example, Zhai et al [4] and Kang et al [19] separately developed a stability judgment controller and a supervisory controller to determine the control mode, in order to control both yaw rate and sideslip angle after judging whether the vehicle tends to be unstable. This kind of upper-level controller with stability judgement turns out to improve the steering stability to a certain degree, but may cause instability in extreme conditions because of the delayed control [20].…”

Section: Introductionmentioning

confidence: 99%

“…In the lower-level controller, the optimal torque distribution algorithm, in general, was proved to be the most effective among the commonly used distribution algorithms, such as average distribution [14], dynamic load distribution [19], and so on. The optimal torque distribution algorithm allocates each wheel torque rationally on the premise of achieving one or more optimal objectives as far as possible, so as to achieve the desired steering control [21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Continuous Steering Stability Control Based on an Energy-Saving Torque Distribution Algorithm for a Four in-Wheel-Motor Independent-Drive Electric Vehicle

Zhai

Hou

Sun³

et al. 2018

Energies

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Abstract:In this paper, a continuous steering stability controller based on an energy-saving torque distribution algorithm is proposed for a four in-wheel-motor independent-drive electric vehicle (4MIDEV) to improve the energy consumption efficiency while maintaining the stability in steering maneuvers. The controller is designed as a hierarchical structure, including the reference model level, the upper-level controller, and the lower-level controller. The upper-level controller adopts the direct yaw moment control (DYC), which is designed to work continuously during the steering maneuver to better ensure steering stability in extreme situations, rather than working only after the vehicle is judged to be unstable. An adaptive two-hierarchy energy-saving torque distribution algorithm is developed in the lower-level controller with the friction ellipse constraint as a basis for judging whether the algorithm needs to be switched, so as to achieve a more stable and energy-efficient steering operation. The proposed stability controller was validated in a co-simulation of CarSim and Matlab/Simulink. The simulation results under different steering maneuvers indicate that the proposed controller, compared with the conventional servo controller and the ordinary continuous controller, can reduce energy consumption up to 23.68% and improve the vehicle steering stability.

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“…This configuration opens up several development avenues to substantially alter the vehicle characteristics both in terms of cornering behavior and energy efficiency, without changing the mechanical setup. For instance, a large body of literature discusses the possible vehicle dynamics improvements, including active safety and fun-to-drive aspects, that can be achieved through TV control (e.g., Jonasson et al, 2011, Kang et al, 2011, see section 2.1. In recent years, research activities have been extended to explore individual wheel torque control integrated with vehicle efficiency considerations (e.g., Wang et al, 2011, De Novellis et al, 2013, Chen & Wang, 2014, Fujimoto & Harada, 2015, see section 2.2.…”

Section: Introductionmentioning

confidence: 99%