scholarly journals Performance Characteristics of Electric Vehicle Battery using Charging Station System with Grid-Connected Configuration via Matlab Simulation

2021 ◽  
Vol 2 (2) ◽  
Author(s):  
Tan Chong Chiat ◽  
◽  
Khairul Anuar Mohamad ◽  
Afishah Alias ◽  
Mohd Shafiee Mohd Sanip ◽  
...  
Keyword(s):  
Lithium Ion ◽  
Threshold Value ◽  
Nickel Metal ◽  
Nickel Metal Hydride ◽  
Matlab Simulink ◽  
Charging Station ◽  
Electric Vehicle Battery ◽  
Li Ion ◽  
Charging Stations ◽  
Ev Charging

Due to the increase in demand for electric vehicles (EV) in recent years, the lack of EV charging stations and different EVs’ battery types are causing inconvenience to the user. The paper presents modeling and simulation of the grid-connected EV charging station system using MATLAB Simulink platform. The model consists of LCL filter, inverter, and battery charger. The inverter is regulated by a dq-frame that synchronizes with a phase-locked loop (PLL) to convert a three-phase alternating current (AC) source to a direct current (DC) source. Futhermore, lead acid (Pb-acid), lithium-ion (Li-ion), nickel-cadmium (Ni-Cd), and nickel metal hydride (Ni-MH) were tested and their performances were evaluated using the simulated EV charging station. All simulations were carried out and tested in the MATLAB Simulink platform. The results showed that Li-ion battery reaches the highest state-of-charge (SOC) value which is 51.66%, Pb-acid is 51.60%. Ni-MH is 51.55%, and Ni-Cd is 51.47% within 60s. The voltage values are 226.0V, 225.2V, 220.8V, and 220.2V for Pb-acid, Ni-MH, Ni-Cd and Li-ion, respectively. The findings revealed that the lithium ion is the most suitable for the use of EV since it had the fastest charging and slowest to reach its maximum threshold value of charging voltage.

Pemilihan Baterai Kendaraan Listrik dengan Metoda Weighted Objective

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
I Made Indradjaja M. Brunner ◽  
Satria M. Brunner
Keyword(s):  
Raw Materials ◽  
Ghg Emissions ◽  
Lithium Ion ◽  
Nickel Metal ◽  
Nickel Metal Hydride ◽  
Alternative Technologies ◽  
Transportation Sector ◽  
Li Ion ◽  
Recycling Facilities ◽  
Lead Acid

Transportation is a sector that contributes significantly to CO2 gas emissions and has the potential to continue to increase along with the addition of fossil fuel vehicles. Indonesia has plans to switch to electric vehicles as an alternative to reduce greenhouse gas (GHG) emissions from the transportation sector. The battery is an important component of an electric vehicle, and there are several alternative technologies that can be used. This paper  simulates the selection of a suitable battery from various type of batteries, including Lead-acid (PbA), Nickel Metal Hydride (NiMH) and Lithium-ion (Li-ion). The selection is made using the weighted objective method by presenting 5 criteria: energy density; emissions generated for battery production; energy factor of the manufacturing process; availability of critical raw materials required for cathodes and anodes; and availability of recycling facilities. Supporting data to determine the magnitude of each criterion is obtained from literature reviews. The analysis and comparison was carried out by giving weight to the assessment based on the data obtained. The results of calculations carried out in the paper show that the Lead-acid battery is a viable option for use at current time.However, if Indonesia already has NiMH and Li-ion battery recycling facilities, or is capable of producing Lithium-ion batteries, then the criteria and calculation factors can be added and improved.

Battery Parameters Identification Analysis Using Periodogram

2015 ◽  
Vol 785 ◽  
pp. 687-691 ◽  
Author(s):  
Rizanaliah Kasim ◽  
Abdul Rahim Abdullah ◽  
Nur Asmiza Selamat ◽  
Mohamad Faizal Baharom ◽  
N.H.T.H. Ahmad
Keyword(s):  
Lithium Ion ◽  
Nickel Metal ◽  
Nickel Metal Hydride ◽  
Waveform Data ◽  
Essential Components ◽  
Nominal Voltage ◽  
Li Ion ◽  
Dc Component ◽  
The Time Domain ◽  
Identification Analysis

Batteries are essential components of most electrical devices and one of the most important parameters in batteries is storage capacity. It represents the maximum amount of energy that can be extracted from the battery under certain specified condition. This paper presents the analysis of charging and discharging battery signal using periodogram. The periodogram converts waveform data from the time domain into the frequency domain and represents the distribution of the signal power over frequency. This analysis focuses on four types of batteries which are lead-acid (LA), lithium-ion (Li-ion), nickel-cadmium (Ni-Cd) and nickel-metal-hydride (Ni-MH). This paper used battery model from MATLAB/SIMULINK software and the nominal voltage of each battery is 6 and 12V while the capacity is 10 and 20Ah, respectively. The analysis is done and the result shows that varying capacity produce different power at a frequency and voltage at DC component.

scholarly journals Blockchain-Enabled Charging Right Trading Among EV Charging Stations

Energies ◽  
2019 ◽  
Vol 12 (20) ◽  
pp. 3922 ◽  
Author(s):  
Ruijiu Jin ◽  
Xiangfeng Zhang ◽  
Zhijie Wang ◽  
Wengang Sun ◽  
Xiaoxin Yang ◽  
...  
Keyword(s):  
Power Systems ◽  
Power Transmission ◽  
Charging Station ◽  
Double Auctions ◽  
Incentive Compatible ◽  
Trading Mechanism ◽  
Charging Stations ◽  
Trading Simulation ◽  
Ev Charging ◽  
Charging Demand

Increasing penetration of electric vehicles (EVs) gives rise to the challenges in the secure operation of power systems. The EV charging loads should be distributed among charging stations in a fair and incentive-compatible manner while ensuring that power transmission and transformation facilities are not overloaded. This paper first proposes a charging right (or charging power ration) trading mechanism and model based on blockchain. Considering all kinds of random factors of charging station loads, we use Monte Carlo modeling to determine the charging demand of charging stations in the future. Based on the charging demand of charging stations, a charging station needs to submit the charging demand for a future period. The blockchain first distributes initial charging right in a just manner and ensures the security of facilities. Given that the charging urgency and elasticity differences vary by charging stations, all charging stations then proceed with double auction and peer-to-peer (P2P) transaction of charging right. Bids and offers are cleared via double auctions if bids are higher than offers. The remaining bids and offers are cleared via the P2P market. Then, this paper designs the charging right allocation and trading platform and smart contract based on the Ethernet blockchain to ensure the safety of the distribution network (DN) and the transparency and efficiency of charging right trading. Simulation results based on the Ethereum private blockchain show the fairness and efficiency of the proposed mechanism and the effectiveness of the method and the mechanism.

Recycling Li-Ion Batteries: Robotic Disassembly of Electric Vehicle Battery Systems

2019 ◽  
Author(s):  
Ian Kay ◽  
Roja Esmaeeli ◽  
Seyed Reza Hashemi ◽  
Ajay Mahajan ◽  
Siamak Farhad
Keyword(s):  
Electric Vehicle ◽  
Lithium Ion ◽  
Robotic System ◽  
Disassembly Process ◽  
Battery Systems ◽  
Electric Vehicle Battery ◽  
Li Ion ◽  
Robotic Disassembly ◽  
The Cost ◽  
Automated Disassembly

Abstract This paper presents the application of robotics for the disassembly of electric vehicle lithium-ion battery (LIB) packs for the purpose of recycling. Electric vehicle battery systems can be expensive and dangerous to disassemble, therefore making it cost inefficient to recycle them currently. Dangers associated with high voltage and thermal runaway make a robotic system suitable for this task, as the danger to technicians or workers is significantly reduced, and the cost to operate a robotic system would be potentially less expensive over the robots lifetime. The proposed method allows for the automated or semi-automated disassembly of electric vehicle LIB packs for the purpose of recycling. In order to understand the process, technicians were studied during the disassembly process, and the modes and operations were recorded. Various modes of interacting with the battery module were chosen and broken down into gripping and cutting operations. Operations involving cutting and gripping were chosen for experimentation, and custom end of arm tooling was designed for use in the disassembly process. Path planning was performed offline in both MATLAB/Simulink and ROBOGUIDE, and the simulation results were used to program the robot for experimental validation.

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