Control strategy of hydraulic/electric synergy system in heavy hybrid vehicles

Design and control of a closed-loop hydraulic energy-regenerative system

Research on the system configuration and energy control strategy for parallel hydraulic hybrid loader

In this paper, an adaptive fuzzy sliding-mode control (AFSMC) was proposed for speed control of a hydraulic pressure coupling drive. The AFSMC combined a direct adaptive fuzzy scheme and a fuzzy sliding scheme in a new structure to reduce the tracking error and the chattering of the control effort. The input nonlinearity of the secondary unit, the input dead zone, was taken into account during the speed controller synthesis and analysis of the stability of the closed-loop system. The stability of a system was proven from Lyapunov's sense. Experiments were performed with different controllers, the AFSMC, the traditional sliding-mode control, and the PID controllers, and under different operating conditions. Then, the experimental results were brought into comparison to evaluate the effectiveness of the AFSMC controller from the viewpoints of stability, performance, and robustness of the closed-loop system.

Speed Control of a Hydraulic Pressure Coupling Drive Using an Adaptive Fuzzy Sliding-Mode Control

Multi-objective optimization for hydraulic hybrid vehicle based on adaptive simulated annealing genetic algorithm

This research paper gives a description of the Permo-Drive Regenerative Energy Management System, (PDREMS), and describes the development of a quasi-static computer based simulation of the Hydraulic Regenerative system for use on heavy commercial vehicles. Modeling of the PDREMS was done in the Matlab/Simulink environment, which was then implemented into the NREL's Advanced Vehicle Simulator (ADVISOR). Validation of the model was achieved through comparison to fuel trials performed on a vehicle with the PDREMS fitted. From the ADVSIOR software, predictions of PDREMS performance were made under different operating conditions on a series of different driving cycles. A brief summary of the postgraduate research being done at Monash University is given in the conclusion.

Development and Simulation of a Hydraulic-Hybrid Powertrain for use in Commercial Heavy Vehicles

Modeling and Simulation of a Fuzzy Logic Controller for a Hydraulic-Hybrid Powertrain for Use in Heavy Commercial Vehicles

The consumption of fossil fuels is o ne of the largest problems facing humankind. One of the heaviest users of our non-renewable resources is the automotive industry, in pa rticular, the heavy road transport sector. Tightening worldwide legislation aims to place restrictions on the heavy transport industry to reduce its use of fossil fuels and reduce the levels of pollution being released to the atmosphere. Although several different alternatives to the conventional Internal Combustion Engine (ICE) have been investigated, none have as yet beco me a competitive source of energy. Alternative research into development of hybrid- drive vehicles was specifically concerned with electric hybrids especially for passenger vehicles. Currently there is a resurgence of interest in the Hydraulic- type Hybrid Vehicle (HHV) in application to commercial and to a lesser degree to large passenger vehicles. This paper gives an overview of hydraulic hybrid technology.

Advances in automotive hydraulic hybrid drives

The objective of the research project, the subject of this paper, is to develop ahybrid diesel-hydraulic drive for large commercial vehicles e.g. urban freight delivery, buses or garbage trucks. The system incorporates a Regenerative Drive Shaft (RDS) which consists of a variable pump/motor coaxial with the drive shaft.Hydraulic energy is supplied to the wheels of the vehicle in parallel with energy supplied by the truck drive system.The objective is to store/supply energy to assist truck braking/acceleration.The unit works as a pump during braking of the truck and thus performs two functions- it stores energy in the accumulator and at the same time provides hydrostatic braking. When the truck accelerates the pump operates as a motor assisting the truck engine. The major advantages of the proposed RDS system over other systems is the application of microprocessor control to optimise power utilisation and elimination of losses during transfer of energy between the truck drive system and the hydraulic pump/motor. This technology offers additional advantages of lower noise, increased reliability, lower maintenance costs and a substantially reduced environment impact. The paper presents and discusses the development of the system, modelling approaches and the results of preliminary performance tests on 10 ton vehicle.

Development of a hydraulic drive for a novel hybrid diesel-hydraulic system for large commercial vehicles

The Hydraulic Hybrid Vehicle obtains energy for propulsion from two different sources, the Internal Combustion Engine (ICE) and a hydraulic pump/motor. Braking torque is supplied by operating the unit as a pump, and thus storing the otherwise lost kinetic energy of the slowing vehicle. During acceleration the unit is operated as a motor, using the stored energy to assist propulsion. A model of the systems was developed in the Matlab/Simulink environment then implemented into the automotive simulator ADVISOR. This paper outlines the procedures used for optimisation studies within ADVISOR, to find the ideal combination of system parameters, e.g., pump/motor displacement, accumulator size and pressures, that yield the best results for fuel consumption for a standard urban drive cycle.

Paul Matheson

Papers

Development and Simulation of a Hydraulic-Hybrid Powertrain for use in Commercial Heavy Vehicles

Modeling and Simulation of a Fuzzy Logic Controller for a Hydraulic-Hybrid Powertrain for Use in Heavy Commercial Vehicles

Advances in automotive hydraulic hybrid drives

Development of a hydraulic drive for a novel hybrid diesel-hydraulic system for large commercial vehicles

Optimisation of a hybrid diesel-hydraulic automotive powertrain using ADVISOR, Matlab and Simulink