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Woraratana Pattaraprakorn. Impact of SOC estimation on EVs charging demand using a stochastic modelling approach. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2021.
Impact of SOC estimation on EVs charging demand using a stochastic modelling approach
Name: Narongkorn Uthathip
Organization :
Thammasat University. Electrical and Computer Engineering
Email :
narongkorn.uth@dome.tu.ac.th
Name: Pornrapeepat Bhasaputra
Organization :
Thammasat University. Electrical and Computer Engineering
Email :
bporr@engr.tu.ac.th
Organization :
Thammasat University. Electrical and Computer Engineering
Email :
pworarat@engr.tu.ac.th
keyword:
Probabilistic model
LCSH:
Problem-based learning
LCSH:
Electric vehicles
Abstract:
This paper proposes a framework for
investigating the Electric Vehicle (EV) charging demand
by considering the estimation of the initial state of
charge (SOC) of each EV. A stochastic approach based
on Monte Carlo simulation (MCS) was applied to
evaluate the energy consumption of an EV and EV
charging behaviors. Driving behavior factors that
influence the consumption were also considered, and
these factors are related to probabilistic density
functions (PDFs) derived from transport surveyed data
and tested-driving data. In order to calculate the
aggregated EV charging demand based on the level of
EV adoption, the start charging time, charging power,
and charging duration time will be considered. The
simulation results of EV charging demand obtained
from the proposed approach and conventional methods
were compared. The results indicated that SOC depends
not only on the daily travel distance but also on driving
behavior. Different driving behavior patterns correlate
with various levels of load demand and energy
requirements for EVs charging. The SOC estimation
using MCS-based approach provides results that
truthfully and appropriately reflect the impact of
driving behavior on load demands and energy
requirements, which can be effectively utilized as an
optional tool in the analysis of EV charging strategies
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2021
Modified:
2023-03-21
Issued:
2023-03-21
บทความ/Article
application/pdf
BibliograpyCitation :
In Suranaree University of Technology and Electrical Engineering Academic Association. The 2021 International of Power, Energy, and Innovations (ICPEI 2021) (pp.134-137). Nakhon Ratchasima : Suranaree University of Technology
eng
©copyrights King Mongkut's University of Technology North Bangkok
RightsAccess:
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0.033885 วินาที
Narongkorn Uthathip
| Title | Contributor | Type |
|---|---|---|
| Impact of SOC estimation on EVs charging demand using a stochastic modelling approach
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Narongkorn Uthathip;Pornrapeepat Bhasaputra;Woraratana Pattaraprakorn | บทความ/Article | |
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Pornrapeepat Bhasaputra
| Title | Contributor | Type |
|---|---|---|
| Impact of SOC estimation on EVs charging demand using a stochastic modelling approach
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Narongkorn Uthathip;Pornrapeepat Bhasaputra;Woraratana Pattaraprakorn | บทความ/Article | |
| Analyzing a decade data with proposed indexes for HVAC energy management of designated buildings in Thailand
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Purachet Trayok;Benjamaporn Pumee;Pornrapeepat Bhasaputra;Woraratana Pattaraprakorn | บทความ/Article |
Woraratana Pattaraprakorn
| Title | Contributor | Type |
|---|---|---|
| Impact of SOC estimation on EVs charging demand using a stochastic modelling approach
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Narongkorn Uthathip;Pornrapeepat Bhasaputra;Woraratana Pattaraprakorn | บทความ/Article | |
| Analyzing a decade data with proposed indexes for HVAC energy management of designated buildings in Thailand
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Purachet Trayok;Benjamaporn Pumee;Pornrapeepat Bhasaputra;Woraratana Pattaraprakorn | บทความ/Article |