Javascript must be enabled to continue!
Optimal Control Strategy for PEM Electric Vehicle using Matlab Simulink
View through CrossRef
Abstract
The conventional fossil fuels are being replaced by alternate energy sources very fast. This is mainly due to the limited resources left in the Nature and the polluting characteristic of fossil fuel. Only thirty additional years are left for the supply of fossil fuels. The extreme climate change is largely attributed to automotive fossil fuel burning. The advent of pure Electric vehicles has resulted in reduction of harmful greenhouse gas emissions. It addresses the answer to the concerns of oil resource depletion, air pollution and climate changes. The benefit of using electric power in automotive sector is immense. However, the outcome of hybrid EVs can surpass pure EVs due to its capability of charging on the go, hence no extra charging time. In absence of any moving parts in a fuel cell, the maintenance and noise are also minimal. PEM fuel cell is a most eligible power source having reduced emissions and high efficiency characteristics. The efficiency of hybrid vehicle is a result of charging effectiveness. Control Strategy plays an important role in conservating and elevating energy whenever required. These are the energy power banks to optimize battery sizing and minimize losses. This paper explains a control strategy to enhance efficiency of FCHV system along with reduction of hydrogen consumption. This is achieved by maximising fuel cell efficiency by balancing the power split between battery and fuel cell. The rule based strategy results in maximising fuel cell system efficiency by sustaining the state of charge (SOC) of the battery. The SOC is aimed to be kept around a value which can address extremely low charge and high charge condition of the battery. At the same time, load on fuel cell is switched in a manner so as not to have a sudden ascent or descent of power, which helps in preventing the terminal deterioration in the fuel cell.
Title: Optimal Control Strategy for PEM Electric Vehicle using Matlab Simulink
Description:
Abstract
The conventional fossil fuels are being replaced by alternate energy sources very fast.
This is mainly due to the limited resources left in the Nature and the polluting characteristic of fossil fuel.
Only thirty additional years are left for the supply of fossil fuels.
The extreme climate change is largely attributed to automotive fossil fuel burning.
The advent of pure Electric vehicles has resulted in reduction of harmful greenhouse gas emissions.
It addresses the answer to the concerns of oil resource depletion, air pollution and climate changes.
The benefit of using electric power in automotive sector is immense.
However, the outcome of hybrid EVs can surpass pure EVs due to its capability of charging on the go, hence no extra charging time.
In absence of any moving parts in a fuel cell, the maintenance and noise are also minimal.
PEM fuel cell is a most eligible power source having reduced emissions and high efficiency characteristics.
The efficiency of hybrid vehicle is a result of charging effectiveness.
Control Strategy plays an important role in conservating and elevating energy whenever required.
These are the energy power banks to optimize battery sizing and minimize losses.
This paper explains a control strategy to enhance efficiency of FCHV system along with reduction of hydrogen consumption.
This is achieved by maximising fuel cell efficiency by balancing the power split between battery and fuel cell.
The rule based strategy results in maximising fuel cell system efficiency by sustaining the state of charge (SOC) of the battery.
The SOC is aimed to be kept around a value which can address extremely low charge and high charge condition of the battery.
At the same time, load on fuel cell is switched in a manner so as not to have a sudden ascent or descent of power, which helps in preventing the terminal deterioration in the fuel cell.
Related Results
Modeling and control of PEM fuel cells
Modeling and control of PEM fuel cells
In recent years, the PEM fuel cell technology has been incorporated to the R&D plans of many key companies in the automotive, stationary power and portable electronics sectors....
Reliability and validity of the German version of the DePaul Symptom Questionnaire Post-Exertional Malaise (DSQ-PEM)
Reliability and validity of the German version of the DePaul Symptom Questionnaire Post-Exertional Malaise (DSQ-PEM)
ObjectiveThis study aimed to examine the psychometric properties (reliability and validity) of a German version of the DSQ-PEM, using a representative sample from the German genera...
Chronopotentiometric Methodology to Characterize the Electrochemically Active Surface Area in PEM Water Electrolysis Cells and Stacks
Chronopotentiometric Methodology to Characterize the Electrochemically Active Surface Area in PEM Water Electrolysis Cells and Stacks
Proton exchange membrane water electrolysis (PEM-WE) emerges as a rapidly evolving and promising technology in the pursuit of green hydrogen generation from renewable energy source...
Nonlinear optimal control for robotic exoskeletons with electropneumatic actuators
Nonlinear optimal control for robotic exoskeletons with electropneumatic actuators
Purpose
To provide high torques needed to move a robot’s links, electric actuators are followed by a transmission system with a high transmission rate. For instance, gear ratios of...
Power Management Strategy of a PEM Fuel Cell-Battery Powered Electric Vehicle
Power Management Strategy of a PEM Fuel Cell-Battery Powered Electric Vehicle
A MATLAB-Simulink based mathematical vehicle simulation model is developed in this investigation to analyze power management strategy of a proton exchange membrane (PEM) fuel cell ...
Preventing protein-energy malnutrition after cortical stroke enhances recovery of symmetry in forelimb use during spontaneous exploration
Preventing protein-energy malnutrition after cortical stroke enhances recovery of symmetry in forelimb use during spontaneous exploration
Protein-energy malnutrition (PEM) commonly arises after stroke. We investigated the effects of preventing PEM on spontaneous recovery of forelimb use, infarct size, and the acute p...
Life-long effects of malnutrition using semi-quantitative EEG analysis
Life-long effects of malnutrition using semi-quantitative EEG analysis
1
ABSTRACT
The non-linear spatiotemporal features in the continuing EEG recordings could be helpful to infer the physio and patho...
LO79: Climbing the learning curve teaching the pediatric emergency physician how to interpret point-of-care ultrasound images
LO79: Climbing the learning curve teaching the pediatric emergency physician how to interpret point-of-care ultrasound images
Introduction: Point-of-Care Ultrasound (POCUS) is rapidly being integrated into Pediatric Emergency Medicine (PEM), and image interpretation is an important component of this skill...

