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Wyszukujesz frazę "vehicle model" wg kryterium: Temat


Wyświetlanie 1-9 z 9
Tytuł:
E-REV’s hybrid vehicle range modeling
Autorzy:
Polak, F.
Powiązania:
https://bibliotekanauki.pl/articles/245454.pdf
Data publikacji:
2018
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
battery
simulation model
electric vehicle
E-REV
Opis:
Article presents the influence of battery capacity and electric generator power on a series hybrid vehicle range. Vehicles equipped with increased battery capacity and small power generator are special type of series hybrid vehicles called Extended Range Electric Vehicles – E-REV. The increasing number of hybrid and electric vehicles increases the demand for durable and efficient sources of energy storage for vehicles. The hybrid vehicle's battery driven range is increased as battery power density is increased and its cost is decreased. This is due to the battery cell cost decreasing and improvement of cell chemistry. That cause higher and higher distance driven on electric mode in hybrid vehicles. First series hybrid vehicle engine power was equal to engine powered the vehicle’s wheels. Nowadays, series hybrid vehicles are more electric vehicles with small power generator (piston or turbine engine. In such a constructions, battery is used as an energy buffer and combustion engine is used more as emergency power supply. To minimize this phenomenon, manufacturers use counteracting solutions that include mounting additional cells in the battery that are switched on when the battery controller identifies a particular battery cell’s failure or high degradation. This is due to the deep and shallow discharges of the battery, the numbers of charging and discharging cycles, and the age and technology of battery packs. AMESim software was used for the simulation of the E-REV hybrid vehicle range. The research was based on modelling the range of the vehicle with different battery capacity works with power generator of different power. By modelling different capacity of battery and power of small generator, it is possible to determine the vehicle range.
Źródło:
Journal of KONES; 2018, 25, 2; 281-286
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The influence of electrochemical battery aging process on an electric vehicle’s range
Autorzy:
Polak, F.
Powiązania:
https://bibliotekanauki.pl/articles/247326.pdf
Data publikacji:
2018
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
battery
simulation model
electric vehicle
LiFePO4
bateria
model symulacyjny
pojazd elektryczny
Opis:
This article presents the influence of aging processes of the electric vehicle’s electrochemical battery. The increasing number of hybrid and electric vehicles increases the demand for durable and efficient sources of energy storage for vehicles. The vehicle's declared range is reduced over time. This is due to the aging of the battery that causes loss of its capacity and loss of its power. To minimize this phenomenon, manufacturers use counteracting solutions that include mounting additional cells in the battery that are switched on when the battery controller identifies a particular battery cell’s failure or high degradation. This is due to the deep and shallow discharges of the battery, the number of charge and discharge cycles, and the age and technology of battery packs. AMESim software was used for the simulation of the electric vehicle. The research was based on modelling the range of the vehicle whose cell capacity includes processes related to aging of the battery. An aging cell algorithm causes the capacity to drop and consequently reduces the range of one full charge. By modelling aging processes, it is possible to determine the battery’s probable capacity loss during vehicle use and to estimate how these processes affect the vehicle's range.
Źródło:
Journal of KONES; 2018, 25, 1; 325-331
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Quantitative Reliability Evaluation of Silicon Carbide-Based Inverters for Multiphase Electric Drives for Electric Vehicles
Autorzy:
Morya, Ajay Kumar
Toliyat, Hamid A.
Powiązania:
https://bibliotekanauki.pl/articles/2175928.pdf
Data publikacji:
2022
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
electric vehicle
fault tolerance
Markov model
multiphase electric drive
reliability
Opis:
Reliability of power converter in the electric drivetrain of a vehicle can be a criterion for the comparison of various converter topologies, cooling system designs and control strategies. Therefore, reliability prediction is important for the design and control of vehicles. This paper presents an approach for quantitative evaluation of the reliability of converters for multiphase motor drives for electric vehicles (EVs) after considering the driving cycle. This paper provides a good background of reliability quantification so that it is easy to extend the presented approach to other applications. The models of subsystems have been selected to have excellent computational efficiency with good accuracy which is necessary for simulating long driving cycles. A simple vehicle model is used to obtain the traction motor torque demand for various points of the driving cycle. A multiphase interior permanent magnet synchronous motor has been used for traction motor. The operating voltage and currents of the motor are found using maximum torque per ampere (MTPA) control of IPMSM. The analytical loss calculation has been used to find the losses of switching devices of the converter. A thermal model of silicon carbide (SiC) MOSFET has been used to calculate junction temperature from the losses. The model developed here gives the failure rate and mean time between failures (MTBF) of switching devices of the inverter, which can be used to determine the failure rate. The model has been used to find the transition probabilities of a Markov model which can be used to quantify the reliability of converters of multiphase electric drives.
Źródło:
Power Electronics and Drives; 2022, 7, 42; 29--42
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The method of developing the power supply system for electric rental go-kart
Autorzy:
Mateja, Krzysztof
Powiązania:
https://bibliotekanauki.pl/articles/2203617.pdf
Data publikacji:
2023
Wydawca:
Uniwersytet Warmińsko-Mazurski w Olsztynie
Tematy:
go-kart
kart
electric vehicle
Model-Based Design
battery cell
Opis:
This article presents the results of work related to the power supply system for 10kW electric, rental go-kart. The research took into account a few types of battery cells. For the case study, the best option was chosen taking into account the restrictions included in the multicriteria analysis for further application. Chosen BLDC motor and battery type were tested on test stands and simulated in MATLAB/Simulink. Simulation model allowed to compare the characteristics from test stands and simulation and next tune the model. Minimum capacity of the batteries had to allow for at least 20 minutes of drive. Chosen elements: electric motor, motor controller, battery cells, BMS allowed to build the first prototype. Tests in real conditions showed the difference between simulation and research system. We could notice what to improve to tune the simulation model and the kart power supply system.
Źródło:
Technical Sciences / University of Warmia and Mazury in Olsztyn; 2023, 26(1); 45--56
1505-4675
2083-4527
Pojawia się w:
Technical Sciences / University of Warmia and Mazury in Olsztyn
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Model of vehicle electric drive system
Autorzy:
Pawelski, Z.
Zdziennicki, Z.
Powiązania:
https://bibliotekanauki.pl/articles/245296.pdf
Data publikacji:
2017
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
transport
electric vehicle
energy storage
electric drive
driving cycle
battery model
Opis:
Models of electrical energy storage devices – a battery and a supercapacitor – as well as models of motor and a control system, were used to feature the work of a hybrid electric drive system. The models were adapted to simulate driving with a given driving cycle, in a quasi-static method, with the use of MATLAB-Simulink software. The advantage of this method is that calculations can be done quickly and results can be easily compared. A battery model enables determining voltage and charge level in relation to load current and temperature. The basic parameter of a battery is a nominal capacity. It is a measure of energy stored in the battery, which can be absorbed within discharge time, in conditions of temperature and current. The energy can be absorbed until the minimal voltage is reached in the clips. The article presents simulation of calculations lead that the described electric drive model. The model makes it possible to analyse different concepts of steering the whole system already in the initial phase. In particular, the article presents PMSM model and trajectories of selected parameters during a trapezoidal driving cycle.
Źródło:
Journal of KONES; 2017, 24, 3; 211-220
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Driving energy management of front-and-rear-motor-drive electric vehicle based on hybrid radial basis function
Autorzy:
Sun, Binbin
Zhang, Tiezhu
Ge, Wenqing
Tan, Cao
Gao, Song
Powiązania:
https://bibliotekanauki.pl/articles/224152.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
electric vehicle
drive
energy management
optimization
torque distribution
predictive model
hardware test
pojazd elektryczny
napęd
zarządzanie energią
optymalizacja
moment obrotowy
model predykcyjny
Opis:
This paper presents mathematical methods to develop a high-efficiency and real-time driving energy management for a front-and-rear-motor-drive electric vehicle (FRMDEV), which is equipped with an induction motor (IM) and a permanent magnet synchronous motor (PMSM). First of all, in order to develop motor-loss models for energy optimization, database of with three factors, which are speed, torque and temperature, was created to characterize motor operation based on HALTON sequence method. The response surface model of motor loss, as the function of the motor-operation database, was developed with the use of Gauss radial basis function (RBF). The accuracy of the motor-loss model was verified according to statistical analysis. Then, in order to create a two-factor energy management strategy, the modification models of the torque required by driver (Td) and the torque distribution coefficient (β) were constructed based on the state of charge (SOC) of battery and the motor temperature, respectively. According to the motor-loss models, the fitness function for optimization was designed, where the influence of the non-work on system consumption was analyzed and calculated. The optimal β was confirmed with the use of the off-line particle swarm optimization (PSO). Moreover, to achieve both high accuracy and real-time performance under random vehicle operation, the predictive model of the optimal β was developed based on the hybrid RBF. The modeling and predictive accuracies of the predictive model were analyzed and verified. Finally, a hardware-in-loop (HIL) test platform was developed and the predictive model was tested. Test results show that, the developed predictive model of β based on hybrid RBF can achieve both real-time and economic performances, which is applicable to engineering application. More importantly, in comparison with the original torque distribution based on rule algorithm, the torque distribution based on hybrid RBF is able to reduce driving energy consumption by 9.51% under urban cycle.
Źródło:
Archives of Transport; 2019, 49, 1; 47-58
0866-9546
2300-8830
Pojawia się w:
Archives of Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Elektryczna lokomotywa akumulatorowa „Electra” ze zmiennym rozstawem kół
„Electra” – the electric battery locomotive with variable track width
Autorzy:
Lasek, Paweł
Setlak, Rafał
Zieleźny, Wojciech
Kupczak, Szymon
Powiązania:
https://bibliotekanauki.pl/articles/20729087.pdf
Data publikacji:
2021
Wydawca:
Wydawnictwo Druk-Art
Tematy:
napęd elektryczny
pojazd elektryczny
akumulatory kwasowo-ołowiowe
elektryczna lokomotywa górnicza
model symulacyjny
electric drive
electric vehicle
lead-acid battery
electric mining locomotive
simulation model
Opis:
W artykule przedstawiony został model symulacyjny elektrycznej lokomotywy górniczej zasilanej z zasobnika akumulatorowego. Opisane zostały modele matematyczne podzespołów pojazdu szynowego, w tym model silnika elektrycznego, akumulatorów kwasowo-ołowiowych, uproszczony model przyczepności oraz oporów toczenia. Pokazano wybrane wyniki symulacji zachowania się układu napędowego zasilanego z akumulatorów w różnych stanach pracy w prostym cyklu jezdnym.
The following paper presents a simulation model of a electric battery locomotive dedicated for mining. The mathematical models of a rail vehicle has been shown, with a analytical models describing an electric motor drive train, including battery system, traction and rolling losses. A set of key data for design and validation has been obtained in a simple drive cycle.
Źródło:
Napędy i Sterowanie; 2021, 23, 12; 68-72
1507-7764
Pojawia się w:
Napędy i Sterowanie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Decoupling control for permanent magnet in-wheel motor using internal model control based on back-propagation neural network inverse system
Autorzy:
Li, Y.
Zhang, B.
Xu, X.
Powiązania:
https://bibliotekanauki.pl/articles/200933.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
electric vehicle
permanent magnet in-wheel motor
back-propagation neural network
inverse system
internal model control
pojazd elektryczny
silnik z napędem na magnesy stałe
inwersja systemu
propagacja wsteczna
model odwrotny
system odwrotny
Opis:
The permanent magnet in-wheel motor (PMIWM) is a nonlinear, multivariable, strongly coupled and highly complex system. The key to the development and application of the PMIWM consists in the improvement of its control accuracy and dynamic performance. In order to effectively decouple the PMIWM, this paper presents a novel internal model control (IMC) approach based on the back-propagation neural network inverse (BPNNI) control method. First, theoretical analysis is conducted to show the existence of the PMIWM inverse system, to be modeled mathematically. The inverse system approximated and identified by the back-propagation neural network (BPNN) constitutes the back-propagation neural network inverse (BPNNI) system. Then, by cascading the BPNNI system on the left side of the original PMIWM system, a new decoupling, pseudo-linear system is established. Moreover, the 2-DOF internal model control (IMC) method is employed to design the extra closed-loop controller that further improves disturbance rejection and robustness of the whole system. Consequently, the proposed decoupling control approach incorporates the advantages of both the BPNNI and the IMC. Effectiveness of thus proposed control approach is verified by means of simulation and real-time hardware-in-the-loop (HIL) experiments.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2018, 66, 6; 961-972
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Improved Matlab/Simulink model of dual three-phase fractional slot and concentrated winding PM motor for EV applied brushless DC drive
Autorzy:
Shchur, Ihor
Mazur, Damian
Makarchuk, Oleksandr
Bilyakovskyy, Ihor
Turkovskyi, Valentyn
Kwiatkowski, Bogdan
Kalandyk, Dawid
Powiązania:
https://bibliotekanauki.pl/articles/2175119.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
electric vehicle
EV
dual three-phase motor
DTP motor
BLDC drive
fractional slot concentrated winding PM motor
FEM modeling
self and mutual differential inductances
Matlab/Simulink model
Opis:
The development of electric vehicles (EV) necessitates the search for new solutions for configuring powertrain systems to increase reliability and efficiency. The modularity of power supplies, converters, and electrical machines is one such solution. Among modular electric machines, dual three-phase (DTP) motors are the most common in high-power drives. To simplify low and medium power drives for EVs based on DTP PM motor, it is proposed to use a BLDC drive and machine of the simplest design - with concentrated windings and surface mounted PMs on the rotor. To study and create such drives, an improved mathematical model of DTP PM machine was developed in this work. It is based on the results of 2D FEM modeling of the magnetic field. According to the developed method, the dependences of the self and mutual inductances between all phase windings from the angle of rotor position and loads of different motor modulus were determined. Based on these inductances, the circuit computer model of DTP PM machine was created in the Matlab/Simulink. It has a high simulation speed and a high level of adequacy, which is confirmed by experimental studies with a mock-up sample of the electric drive system.
Źródło:
Archives of Control Sciences; 2022, 32, 4; 677--707
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-9 z 9

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