Investigation to simulation of control strategy of parallel hydraulic hybrid vehicles based on backward modeling

2009 ◽  
Author(s):  
Liu Tao ◽  
Sun Hui ◽  
Jiang Jihai
Keyword(s):  
Control Strategy ◽  
Hybrid Vehicles ◽  
Hydraulic Hybrid

Attitude control strategy for unmanned wheel-legged hybrid vehicles considering the contact of the wheels and ground

2021 ◽  
pp. 095440702110583
Author(s):  
Hui Liu ◽  
Baoshuai Liu ◽  
Ziyong Han ◽  
Yechen Qin ◽  
Xiaolei Ren ◽  
...  
Keyword(s):  
Control Strategy ◽  
Attitude Control ◽  
Lower Layer ◽  
Hybrid Vehicles ◽  
The Body ◽  
Torque Control ◽  
Whole Body ◽  
Programming Algorithm ◽  
Contact Points ◽  
Motion Generator

During patrol and surveillance tasks, attitude control is crucial for improving the terrain adaptability of unmanned wheel-legged hybrid vehicles. This paper proposes an attitude control strategy for unmanned wheel-legged hybrid vehicles, considering the contact of the wheels and ground. The proposed method can naturally achieve torque control efficiently of each joint actuator and wheel-side actuator and avoid the discrepancy between off-road terrain and stability. First, an inverse kinematics model is established to resolve the body and each joint rotation angle, and the dynamic model is built based on the multi rigid body theory, considering the contact points planning of wheel and ground. Considering the nonholonomic constraint of the structure scheme, a hierarchical real-time attitude controller for a wheel-legged vehicle is proposed. The upper layer calculates the contact points of each wheel and the ground through the quadratic programming algorithm, and the lower layer is divided into a legged motion generator and a wheel motion generator by a mathematical analysis method. Finally, the proposed method is applied to achieve the tracking and control of the whole-body trajectory. The proposed strategy can achieve the decoupling of wheeled motion generator and legged motion generator, and improve control efficiency.

scholarly journals Regenerative Braking Control Strategy of Electric-Hydraulic Hybrid (EHH) Vehicle

Energies ◽  
2017 ◽  
Vol 10 (7) ◽  
pp. 1038 ◽  
Author(s):  
Yang Yang ◽  
Chang Luo ◽  
Pengxi Li
Keyword(s):  
Control Strategy ◽  
Regenerative Braking ◽  
Hydraulic Hybrid ◽  
Braking Control

A Magnetorheological Vibration Isolator for Hydraulic Hybrid Vehicles

2005 ◽  
Author(s):  
The M. Nguyen ◽  
Mohammad H. Elahinia
Keyword(s):  
Vibration Isolation ◽  
Fuel Efficiency ◽  
Mr Damper ◽  
Hybrid Vehicles ◽  
Noise And Vibration ◽  
Variable Yield ◽  
Carrier Fluid ◽  
Mr Dampers ◽  
Hydraulic Hybrid ◽  
Motor Component

This paper presents the results of vibration isolation analysis for the pump/motor component of hydraulic hybrid vehicles (HHV). The hybrid subsystem can potentially improve the fuel efficiency of the vehicle by recovering some of the energy that is otherwise wasted in friction brakes. High pressure hydraulic fluid “assists” the engine in the initial acceleration period. Noise and vibration are an issue with these systems due to the variable hydraulic loads that are applied to the regenerative hybrid element. This study looks into the possibility of reducing the transmitted noise and vibration to the vehicle’s chassis by using smart magnetorheological (MR) dampers. MR dampers utilize MR fluid which is made of pure iron particles suspended in a carrier fluid. MR fluids deliver variable yield stress under the effect of a controllable electromagnetic field. To this end, an MR damper is modeled and simulated. In the simulation both shock and vibration loads are considered. The simulation results are compared with the performance of regular elastomer isolators. It is shown that the MR damper can effectively reduce the vibration for different working cycles of the regenerative system.

Optimal Energy Use in a Light Weight Hydraulic Hybrid Passenger Vehicle

2012 ◽  
Vol 134 (4) ◽  
Author(s):  
Timothy O. Deppen ◽  
Andrew G. Alleyne ◽  
Kim A. Stelson ◽  
Jonathan J. Meyer
Keyword(s):  
Predictive Control ◽  
Control Strategy ◽  
Management Strategy ◽  
Energy Use ◽  
Individual Component ◽  
Light Weight ◽  
Passenger Vehicle ◽  
Energy Management Strategy ◽  
Hybrid Powertrain ◽  
Hydraulic Hybrid

In this study we present a procedure for the design and implementation of a control strategy to optimize energy use within a light weight hydraulic hybrid passenger vehicle. The hydraulic hybrid utilizes a high pressure accumulator for energy storage which has superior power density than conventional battery technology. This makes fluid power attractive for urban driving applications in which there are frequent starts and stops and large startup power demands. A dynamic model of a series hydraulic hybrid powertrain is presented along with the design of a model predictive control based energy management strategy. Model predictive control was chosen for this study because it uses no future information about the drive cycle in its design. This increases the flexibility of the controller allowing it to be directly applied to a variety of drive cycles. Using the model predictive framework, a holistic view of the powertrain was taken in the design of the control strategy, and the impact of each actuator’s efficiency on overall efficiency was evaluated. A hardware-in-the-loop experiment using an electro-hydraulic powertrain testbed was then used to validate the dynamic model and control performance. Through a simulation study in which each actuator’s efficiency was given varying levels of priority in the objective function, it was found that overall system efficiency could be improved by allowing for small sacrifices in individual component performance. In fact, the conventional wisdom of using the additional degrees of freedom within a hybrid powertrain to optimize engine efficiency was found to yield the lowest overall powertrain efficiency. In this work we present a rigorous framework for the design of an energy management strategy. The design method improves the powertrain’s operational efficiency by finding the best balance between optimizing individual component efficiencies. Furthermore, since the design of the control strategy is built upon an analysis of individual components, it can be readily extended to other architectures employing different actuators.

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