Hybrid vehicles: the system and control system challenges

2010 ◽  
Author(s):  
M. Richardson
Keyword(s):  
Control System ◽  
Hybrid Vehicles ◽  
And Control

scholarly journals Hybrid Vehicles: The System and Control System Challenges

2010 ◽  
Vol 43 (10) ◽  
pp. 306-311
Author(s):  
Michael Richardson ◽  
Matthew Hancock ◽  
Philip Whiffin
Keyword(s):  
Control System ◽  
Hybrid Vehicles ◽  
And Control

Modeling and Simulation of a Multiple-Regime Plug-In Hybrid Electric Vehicle

2013 ◽  
Author(s):  
Rui Cheng ◽  
Jian Dong ◽  
Zuomin Dong
Keyword(s):  
Control System ◽  
Modeling And Simulation ◽  
Fuel Consumption ◽  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Hybrid Vehicles ◽  
Rule Based ◽  
Hybrid Electric ◽  
Load Leveling ◽  
And Control

In recent years, the automotive industry has devoted considerable resources to the research and development of hybrid vehicles. Plug-in hybrid electric vehicles (PHEV) present to be the next generation hybrid vehicles that offer the advantages in reducing fossil fuel consumption and lowering emissions without sacrifice vehicle performance, and the ability to utilize renewable energy through charge from the electric grid. In this work, the powertrain model of a series-parallel, multiple-regime plug-in hybrid electric vehicle (SPMR-PHEV) was introduced. As one of the several parallel powertrain modeling, simulation and control system design approaches at University of Victoria, the presented SPMR-PHEV model was developed using rule-based load-leveling energy management strategy (EMS) under the MATLAB/Simulink and SimDriveline environment. In order to validate the model and evaluate the fuel consumption and performance of SPMR-PHEV, a Simulink based Prius model and two different PHEV powertrain models have also been built using Autonomie — a vehicle simulation tool developed by DOE’s Argonne National Laboratory, using the default control logics. Fuel consumption from the three different models were compared using a test drive case consisting of eight times of the US06-City drive cycle. Under the static modeling and simulation method and different control strategies, the SPMR-PHEV model in Simulink/SimDriveline and rule-based load-leveling EMS showed 12.02% fuel economy and powertrain efficiency improvements over the Autonomie model. The new powertrain system model developed using Simulink and SimDrivline could also be used as a generic, modular and flexible vehicle modeling platform to support the integration of powertrain design and control system optimization.

Development of a Jacobian Module for Advanced Pulp and Paper Simulation and Control

TAPPI Journal ◽  
2009 ◽  
Vol 8 (1) ◽  
pp. 4-11
Author(s):  
MOHAMED CHBEL ◽  
LUC LAPERRIÈRE
Keyword(s):  
Control System ◽  
Nonlinear Behavior ◽  
Simulation Software ◽  
Pulp And Paper ◽  
Pid Controllers ◽  
Tuning Parameters ◽  
Pid Tuning ◽  
Fixed Set ◽  
And Control ◽  
Operating Points

Pulp and paper processes frequently present nonlinear behavior, which means that process dynam-ics change with the operating points. These nonlinearities can challenge process control. PID controllers are the most popular controllers because they are simple and robust. However, a fixed set of PID tuning parameters is gen-erally not sufficient to optimize control of the process. Problems related to nonlinearities such as sluggish or oscilla-tory response can arise in different operating regions. Gain scheduling is a potential solution. In processes with mul-tiple control objectives, the control strategy must further evaluate loop interactions to decide on the pairing of manipulated and controlled variables that minimize the effect of such interactions and hence, optimize controller’s performance and stability. Using the CADSIM Plus™ commercial simulation software, we developed a Jacobian sim-ulation module that enables automatic bumps on the manipulated variables to calculate process gains at different operating points. These gains can be used in controller tuning. The module also enables the control system designer to evaluate loop interactions in a multivariable control system by calculating the Relative Gain Array (RGA) matrix, of which the Jacobian is an essential part.

Еlectric Drive and Control System of Flying saw of electricweld item

2015 ◽  
Vol 19 (95) ◽  
pp. 50-53
Author(s):  
Aleksej A. Kravcov ◽  
◽  
Leonid G. Limonov ◽  
Valerij V. Sinelnikov ◽  
Stanislav V. Potapov
Keyword(s):  
Control System ◽  
Drive And Control ◽  
And Control

Analysis of the Management and Control System of Trade Receivables on the Effectiveness of the Corporate Cash Flow on PT. Enseval Putera Megatrading, tbk

2020 ◽  
Vol 2 (1) ◽  
pp. 75-87
Author(s):  
Syarifah Nuriah ◽  
Abdul Rakhman Laba ◽  
Muhammad Sobarsyah
Keyword(s):  
Control System ◽  
Cash Flow ◽  
Primary Data ◽  
Ratio Analysis ◽  
Financial Ratio ◽  
Accounts Receivable ◽  
Corporate Capital ◽  
Financial Ratio Analysis ◽  
Data Source ◽  
And Control

This study aims to determine the management and control system of trade receivables on the effectiveness of the cash flow company’s at PT. Enseval Putera Megatrading, Tbk. The data source used in this study is the primary data source, obtained directly from the company. The analytical method used for testing the management and control system of receivables on the effectiveness of cash flow is the analysis of financial ratios. In this study, the data used for analysis are qualitative data analysis and financial ratio analysis, namely the activity ratio (RTO, ACP, Arrears Ratio, and Billing Ratio). The results showed that (1) RTO of PT. Enseval Putera Megatrading, the highest rate in 2017 was 189 times, while the lowest RTO was in 2015 which was 115 times. This shows the normal level of turnover. The faster the payment terms, the better for the company, because the faster the working capital embedded in receivables returns to capital or cash, which means the higher the receivables turnover. (2) ACP or the average age of collection of receivables applied by companies, especially the value in 2017 is 2 days. This means that the company has been effective in managing its accounts receivable because the standard for collecting receivables set by the company is the repayment limit or due date no later than 7 (seven) to 90 (Ninety) calendar days from the billing statement received by the service user. (3) The Arrears Ratio, namely from 2014-2018, the largest was only 1.11%. This shows that the lower the arrears ratio, the better for the company, which means the company is able to handle its receivables properly. (4) Billing Ratio shows that from 2014-2018 the lowest that is 98.88% shows the greater the value of collectible receivables means the greater the percentage value of the collection ratio so that the better for the company because of the greater return on corporate capital. Then it can be concluded that the Billing Ratio of PT. Enseval Putera Megatrading, it's not working effectively.

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