ENERGY-EFFICIENT DOUBLE CAGE INDUCTION MOTOR DESIGN AND SIMULATION FOR RENEWABLE-POWERED ELECTRIC VEHICLES
The rapid transition toward sustainable transportation and the increasing integration of renewable energy into mobility systems have accelerated the demand for efficient and robust electric motors. This study investigates the comprehensive design and simulation of a Double Cage Induction Motor (DCIM...
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Institute of Renewable Energy National Academy of Sciences of Ukraine
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Vidnovluvana energetika| _version_ | 1871104027189575680 |
|---|---|
| author | Patel, Dhavalkumar Kantilal Kumar, E. Vijay Swarupa, M. Lakshmi |
| author_facet | Patel, Dhavalkumar Kantilal Kumar, E. Vijay Swarupa, M. Lakshmi |
| author_institution_txt_mv | [
{
"author": "Dhavalkumar Kantilal Patel",
"institution": "1RKDF Institute of Science & Technology, SRK University Bhopal, India"
},
{
"author": "E. Vijay Kumar",
"institution": "RKDF-IST, SRK University,Bhopal, India"
},
{
"author": "M. Lakshmi Swarupa",
"institution": "CVR College of Engineering, Ibrahimpatnam, Hyderabad, India"
}
] |
| author_sort | Patel, Dhavalkumar Kantilal |
| baseUrl_str | https://ve.org.ua/index.php/journal/oai |
| collection | OJS |
| datestamp_date | 2026-07-18T06:32:23Z |
| description | The rapid transition toward sustainable transportation and the increasing integration of renewable energy into mobility systems have accelerated the demand for efficient and robust electric motors. This study investigates the comprehensive design and simulation of a Double Cage Induction Motor (DCIM) for electric mobility, emphasizing its role in enhancing energy efficiency and supporting renewable-powered transportation. Analytical design and finite element method (FEM)-based simulations are employed to evaluate the motor’s performance under diverse operating conditions relevant to electric vehicles. The DCIM is highlighted for its superior torque response, adaptability, and durability, which are essential for the variability inherent in renewable energy-driven charging and electric propulsion. Performance indicators such as torque, efficiency, and losses are analyzed with a focus on reducing energy consumption and improving thermal management. The proposed design demonstrates enhanced starting characteristics, improved efficiency, and reliable performance, making it a strong candidate for advancing clean and renewable energy-based electric mobility systems. |
| doi_str_mv | 10.36296/1819-8058.2025.4(83).34-41 |
| first_indexed | 2026-02-08T07:59:27Z |
| format | Article |
| fulltext |
34
Відновлювана енергетика. № 4/2025 | Комплексні проблеми енергетичних систем на основі НВДЕ
UDC: 621.383:536.24:004.942 https://doi.org/10.36296/1819-8058.2025.4(83).34-41
ENERGY-EFFICIENT DOUBLE CAGE INDUCTION MOTOR DESIGN AND SIMULATION FOR
RENEWABLE-POWERED ELECTRIC VEHICLES
Received Aug. 15, 2025; accepted Dec. 09, 2025
Available online Dec. 31, 2025
Dhavalkumar Kantilal Patel1, E. Vijay Kumar2,
M. Lakshmi Swarupa3
Author for correspondence: M. Lakshmi Swarupa
e-mail: swarupamalladi@gmail.com
Abstract. The rapid transition toward sustainable transporta-
tion and the increasing integration of renewable energy into
mobility systems have accelerated the demand for efficient and
robust electric motors. This study investigates the comprehen-
sive design and simulation of a Double Cage Induction Motor (DCIM) for electric mobility, emphasizing its role in
enhancing energy efficiency and supporting renewable-powered transportation. Analytical design and finite ele-
ment method (FEM)-based simulations are employed to evaluate the motor’s performance under diverse operat-
ing conditions relevant to electric vehicles. The DCIM is highlighted for its superior torque response, adaptability,
and durability, which are essential for the variability inherent in renewable energy-driven charging and electric
propulsion. Performance indicators such as torque, efficiency, and losses are analyzed with a focus on reducing
energy consumption and improving thermal management. The proposed design demonstrates enhanced starting
characteristics, improved efficiency, and reliable performance, making it a strong candidate for advancing clean
and renewable energy-based electric mobility systems.
Keywords: Renewable Energy Integration, Double Cage Induction Motor (DCIM), Energy Efficiency, Thermal Per-
formance, Torque Characteristics, Sustainable Mobility, Finite Element Analysis (FEA), MATLAB Simulation.
ЕНЕРГОЕФЕКТИВНЕ ПРОЄКТУВАННЯ ТА МОДЕЛЮВАННЯ АСИНХРОННОГО ДВИГУНА З
ПОДВІЙНОЮ КЛІТКОЮ ДЛЯ ЕЛЕКТРОМОБІЛІВ З ЖИВЛЕННЯМ ВІД
ВІДНОВЛЮВАНИХ ДЖЕРЕЛ ЕНЕРГІЇ
Отримано 15 серп. 2025 р.; рекомендовано до публікації 09 груд. 2025 р.
Доступно онлайн 31 груд. 2025 р.
Дхавалкумар Кантілал Пател1, Е. Віджай Кумар2,
М. Лакшмі Сварупа3
Автор для кореспонденції: М. Лакшмі Сварупа,
e-mail: swarupamalladi@gmail.com
Анотація. Швидкий перехід до сталого транспорту та
зростаюча інтеграція відновлюваних джерел енергії у
транспортні системи підсилюють потребу в ефектив-
них та надійних електричних двигунах. У цьому дослі-
дженні розглянуто комплексне проєктування та моде-
лювання асинхронного двигуна з подвійною кліткою (Double Cage Induction Motor — DCIM) для
електромобільності з акцентом на підвищенні енергоефективності та підтримці транспорту, що
працює на відновлюваних джерелах. Використано аналітичне проєктування та моделювання на основі
методу скінченних елементів (FEM) для оцінювання робочих характеристик двигуна в різних режимах
роботи, характерних для електромобілів. DCIM вирізняється покращеною реакцією на навантаження,
адаптивністю та довговічністю — важливими для умов, притаманних заряджанню від відновлюваних
джерел і електричному приводу. Проаналізовано такі показники, як момент, ефективність та
1 Research Scholar, EEE
2 HOD EE & EEE Dept.
3 Professor, EEE
https://orcid.org/0000-0002-2926-3854
1 RKDF Institute of Science & Technology, SRK
University Bhopal, India
2 RKDF-IST, SRK University,Bhopal, India
3 CVR College of Engineering, Ibrahimpatnam,
Hyderabad, India
1 аспірант-досл. каф. електротех. та електроніки
2 зав. каф. електротех. та з електроніки
3 проф. каф. електротех. та з електроніки
https://orcid.org/0000-0002-2926-3854
1 Інститут науки та технологій RKDF,
Університет SRK, Бхопал, Індія
2 RKDF-IST, Університет SRK, Бхопал, Індія
3 Інженерний коледж CVR, Ібрагімпатнам,
Хайдарабад, Індія
35
Відновлювана енергетика. № 4/2025 | Комплексні проблеми енергетичних систем на основі НВДЕ
втрати, з акцентом на зменшенні енергоспоживання та покращенні теплового режиму. Запропоно-
вана конструкція демонструє покращені пускові характеристики, підвищену ефективність і надійну
роботу, що робить її перспективним рішенням для розвитку електромобільності, заснованої на чис-
тих і відновлюваних джерелах енергії.
Ключові слова: інтеграція відновлюваної енергії, асинхронний двигун з подвійною кліткою (DCIM), енер-
гоефективність, теплові характеристики, моментні характеристики, сталість транспорту, аналіз
методом скінченних елементів (FEA), MATLAB-моделювання.
Introduction
The transportation sector is experiencing a transformative
shift toward electrification, driven by the urgent need to re-
duce greenhouse gas emissions, improve energy efficiency,
and decrease reliance on fossil fuels. Electric mobility (e-
mobility) has emerged as a sustainable alternative that
complements the global transition toward renewable en-
ergy integration in transportation systems. Central to this
shift is the development of efficient and reliable electric
motors, which play a pivotal role in converting electrical en-
ergy—often sourced from renewables—into mechanical
propulsion.
Induction motors have long been favored for their robust-
ness, cost-effectiveness, and minimal maintenance re-
quirements. However, the increasing performance and ef-
ficiency demands of modern e-mobility highlight
limitations in conventional single-cage induction motors.
To address these challenges, advanced motor topologies
such as the Double Cage Induction Motor (DCIM) are being
explored.
DCIMs provide enhanced starting torque, reduced inrush
current, and improved thermal performance, making them
particularly suitable for electric vehicles (EVs) operating un-
der variable load conditions and renewable-powered
charging infrastructures. These characteristics allow DCIMs
to deliver reliable performance across wide speed ranges,
ensuring high efficiency and adaptability in sustainable mo-
bility applications.
While Permanent Magnet Synchronous Motors (PMSMs)
currently dominate the EV market, their reliance on costly
rare-earth materials raises concerns regarding long-term
sustainability. Induction motors, and specifically DCIMs,
present a promising, eco-friendly, and economically viable
alternative. Their ability to combine durability, energy effi-
ciency, and superior torque characteristics positions them
as strong candidates for next-generation electric propul-
sion systems. This paper presents the comprehensive de-
sign, analytical modeling, and finite element analysis (FEA)-
based simulation of a DCIM tailored for EV propulsion. Per-
formance evaluation focuses on torque, efficiency, and
thermal characteristics, highlighting the motor’s potential
contribution to advancing renewable energy-driven, sus-
tainable electric mobility.
Design Considerations
Designing a DCIM for EV applications requires a multi-disci-
plinary approach, involving electromagnetic, thermal, and
mechanical design aspects. The electrical specifications are
determined based on the target vehicle class and expected
driving conditions. The motor is rated at 7.5 kW with a 400
V supply and operates at 1500 RPM, suitable for compact
and mid-size electric cars.
Mechanically, the motor features a shaft diameter of 28
mm and uses a forced air-cooling system to manage the
heat generated during operation. The motor is designed for
continuous operation (S1 duty), ensuring durability during
extended drives. The design aims to achieve a high starting
torque, which is critical for vehicle acceleration, and high
efficiency during steady-state operation to optimize energy
usage [3].
Fig. 1. Block diagram of Double Cage Induction Motor for
Electric Vehicle [1]
The double cage structure comprises an outer cage with
high resistance and an inner cage with low resistance. This
configuration allows the motor to generate a large starting
torque while maintaining good efficiency at operating
speed. The rotor geometry, including bar dimensions and
slot design, is optimized to reduce leakage inductance and
improve torque response [4].
A. Electrical Specifications
• Rated Power: 7.5 kW
• Rated Voltage: 400 V
• Frequency: 50 Hz
• Speed: 1500 RPM (4-pole machine)
B. Mechanical Considerations
• Shaft diameter: 28 mm
• Cooling: Forced air-cooled system
• Duty Cycle: S1 (continuous)
C. Design Objectives
• High starting torque (> 2.5 × rated torque)
36
Відновлювана енергетика. № 4/2025 | Комплексні проблеми енергетичних систем на основі НВДЕ
• High efficiency (> 90%) at full load
• Optimized rotor cage geometry for minimal slip loss
D. Double Cage Rotor Structure
The outer cage has a high resistance to provide starting
torque, while the inner cage has low resistance to support
running efficiency. The rotor bar dimensions, slot insula-
tion, and skewing are optimized for reduced harmonic ef-
fects and minimized torque ripple.
Analytical Modeling
Analytical modeling is crucial in predicting motor perfor-
mance and guiding the design optimization process. The
per-phase equivalent circuit of the DCIM includes two rotor
branches representing the inner and outer cages. Each
branch comprises resistance and reactance elements that
simulate the motor's electrical behavior [5].
The total rotor impedance is calculated by combining the
two branches in parallel. MATLAB/Simulink is employed to
simulate the equivalent circuit, enabling the calculation of
torque, current, power factor, and efficiency across differ-
ent load conditions. The model incorporates core losses
and stray load losses, ensuring accurate performance pre-
dictions.
By analyzing slip-dependent parameters, the model helps
determine the optimal dimensions and materials for the ro-
tor bars and end rings. This ensures that the motor meets
the desired performance targets, such as starting torque
and efficiency, without excessive heating or losses [6].
The equivalent circuit model of a DCIM includes two rotor
branches in parallel representing the inner and outer cages.
The per-phase equivalent circuit is used to compute perfor-
mance characteristics:
Zrotor = (
1
𝑅1+𝑗𝑋1
)−1 + (
1
𝑅2+𝑗𝑋2
)−1
Using MATLAB/Simulink, the performance under varying
slip conditions is simulated. Parameters are extracted
through iterative design-to-spec techniques based on IEEE
Std 112 and NEMA standards.
Simulation Setup
Finite Element Analysis (FEA) provides detailed insights into
the electromagnetic and thermal behavior of the motor.
The simulation is carried out using ANSYS Maxwell for elec-
tromagnetic analysis and ANSYS Workbench for thermal
simulations. A 2D transient solver is used to capture time-
varying magnetic fields and compute torque ripple and flux
distribution.
The simulation environment allows testing under various
operating conditions, including full-load, no-load, and peak
torque scenarios. The rotor and stator geometries are
meshed finely to ensure accurate field calculations. Mate-
rial properties such as electrical conductivity and thermal
conductivity are defined based on industrial-grade lamina-
tion and copper standards [7].
Thermal analysis evaluates the heating patterns within the
motor during prolonged operation. The forced air-cooling
system is modeled to simulate airflow and heat dissipation,
ensuring the rotor cage and windings remain within safe
temperature limits. Additionally, the motor is integrated
into a MATLAB Simulink EV drive cycle model to analyze
performance under dynamic conditions such as accelera-
tion, cruising, and regenerative braking.
A. Finite Element Analysis (FEA)
ANSYS Maxwell is employed for electromagnetic modeling.
The 2D transient solver provides magnetic flux distribution,
torque ripple analysis, and loss calculations.
B. Thermal Analysis
Using ANSYS Workbench, thermal simulations ensure rotor
cage heating remains within safe limits during peak load
conditions.
C. Dynamic Performance in EV Drive Cycle
MATLAB Simulink integrates the motor model into a drive
cycle simulation (e.g., WLTP) to evaluate real-world behav-
ior under regenerative braking and acceleration.
Results And Discussion
The simulation results validate the motor's capability to
meet EV performance demands. The torque-speed charac-
teristic curve shows a starting torque of approximately 2.7
times the rated torque, which is sufficient for rapid acceler-
ation from a standstill. The motor maintains a relatively
constant torque over a wide speed range, ensuring smooth
vehicle operation.
Efficiency analysis reveals that the motor operates above
91% efficiency between 60% to 100% load. This high effi-
ciency contributes to extended driving range and reduced
battery consumption. Compared to single cage motors, the
DCIM shows a 3% to 5% improvement in efficiency, primar-
ily due to reduced slip losses and optimized rotor design [8].
Thermal simulations indicate that the rotor temperature
remains below 120°C under continuous load, confirming
that the motor can handle the thermal stress associated
with prolonged EV operation. Harmonic analysis reveals a
total harmonic distortion (THD) of less than 4%, ensuring
minimal vibration and acoustic noise, which enhances pas-
senger comfort [9–12].
Table 1. Torque vs. Speed Curve [1]
Speed (rpm) Torque (Nm)
0 48.5
1000 48.0
2000 47.8
3000 47.5
4000 40.0
5000 30.0
37
Відновлювана енергетика. № 4/2025 | Комплексні проблеми енергетичних систем на основі НВДЕ
Constant torque region up to base speed (3000 rpm)
Field weakening region beyond base speed.
Plot: Torque-Speed curve showing a plateau up to base
speed and declining torque in field weakening region.
Starting Performance
• Starting Torque: 48.5 Nm
• Inrush Current: ~6.5x rated current
• Acceleration time (no load): 0.65 seconds
• Plot: Torque vs. Time showing initial spike, then
• stabilization. Current vs. Time with inrush transient.
Table 2. Efficiency vs. Load Curve[2]
Load (%) Efficiency (%)
25 85.1
50 91.3
75 94.2
100 95.0
125 94.1
• Plot: Efficiency peaks near rated load (~95%).
• Electromagnetic Losses
• Copper Losses: 120 W
• Core Losses: 60 W
Total Electromagnetic Losses: 180 W (Bar Chart comparing
copper vs. iron loss)
Table 3. Summary Table [2]
Parameter Value
Rated Torque 47.5 Nm
Peak Flux Density 1.7 T
Efficiency @ Rated Load 95.0%
Total Losses 180 W
Starting Torque 48.5 Nm
Inrush Current 6.5 × I_rated
Fig. 2. Rotor speed (rpm) and Load (%), Torque(N-m)
Versus Time(s)[3]
Fig. 3. Simulated Versus measured temperature rise [3]
Comparative Study with Conventional Motors
A comparative analysis was performed between the
proposed Interior Permanent Magnet Synchronous Motor
(IPMSM) and conventional motor types, such as Induction
Motors (IM) and Surface-mounted PMSMs (SPMSM).
Table 4. Comparison of types of PMSM with parameter
specifications [4]
Parameter IPMSM IM SPMSM
Efficiency @ Rated
Load
95.0% 89.5% 93.2%
Torque Density
(Nm/Kg)
7.5 4.2 6.8
Peak Torque 48.5 Nm 40.0 Nm 46.0 Nm
Power Factor ~0.95 ~0.88 ~0.90
Field Weakening
Capability
Excellent Limited Moderate
38
Відновлювана енергетика. № 4/2025 | Комплексні проблеми енергетичних систем на основі НВДЕ
Observations:
• The IPMSM outperforms both IM and SPMSM in terms
of efficiency, torque density, and field-weakening
range.
• IMs are more robust and cost-effective, but less effi-
cient and heavier.
• SPMSMs offer good performance but lack the deep sa-
liency benefit seen in IPMSMs.
Load and Speed Variation Analysis
• The motor was analyzed under varying load and
speed conditions. Key outcomes included:
• Torque remains nearly constant up to base speed
(3000 rpm), after which it drops due to field weaken-
ing.
• Efficiency peaks near 100% load and base speed,
reaching ~95%.
• Overload capability shows motor sustains up to 125%
rated load with marginal loss in efficiency.
Thermal Performance Evaluation
Thermal simulations were conducted to evaluate winding
and core temperature rise.
• Peak winding temperature at full load: 108°C
• Ambient temperature: 25°C
• Cooling method: Natural convection
Table 5. Stator and Rotor details [4]
Component Temperature (°C)
Stator Winding 108
Rotor Core 94
Outer Frame 72
Thermal limits remained within safe operating ranges. A
forced-air or liquid cooling system can be introduced to
enhance performance at higher loads.
Motor Suitability for E-Mobility Applications
The motor’s performance was evaluated for e-mobility use
(e.g., electric two-wheelers or compact EVs):
Advantages:
• High torque density: Enables compact drivetrain design
• Wide speed range: Supports both urban and highway
driving
• High efficiency: Reduces battery consumption and en-
hances range
• Strong field weakening: Suitable for regenerative brak-
ing.
Limitations:
• Requires precise control (vector control or FOC)
• Higher cost due to rare-earth magnets
• Overall, the motor exhibits excellent suitability for
modern e-mobility platforms.
Design Trade-offs and Optimization Outcomes
The design process involved balancing several performance
objectives:
Table 6. Comparison in terms of Design objectives [5]
design
objective
trade-off
consideration
final outcome
high torque
increased rotor
volume
achieved 48.5 nm at
cost of ~8% size
increase
efficiency vs.
cost
rare-earth
magnet selection
chose ndfeb grade
n35 to balance cost
and performance
thermal
management
larger stator
teeth
reduced hot spots
but slightly
increased weight
weight vs.
robustness
thinner housing
walls
compensated with
rib reinforcements
Optimization via parameter sweeping and FEA iterations
yielded a motor with optimal torque-to-weight ratio, robust
thermal behavior, and peak efficiency at design load [14–18].
Experimental Validation
Test Setup
• Prototype machine: Lab-scale IPMSM built to the opti-
mized geometry.
• Test bench: Dynamometer with torque transducer
(±0.05 Nm accuracy) and inverter drive enabling vector
control.
Instrumentation:
• Current and voltage sensors (±0.5 % accuracy) for in-
put power
• Optical encoder for speed measurement (0.01 % reso-
lution)
• Type-K thermocouples placed in stator winding, rotor
core, and housing
Data Acquisition and Processing
• Measurements were taken at discrete speeds (0–
6,000 rpm in 500 rpm steps) and loads (25–125 % rated
load).
• Each data point is the average of three runs to minimize
transient effects and measurement noise.
• Efficiency was computed from measured input power
and mechanical output.
• Temperature rise recorded after reaching steady state
(~30 min at each load).
39
Відновлювана енергетика. № 4/2025 | Комплексні проблеми енергетичних систем на основі НВДЕ
Table 7. Results Comparison
Test Condition Simulated Measured
Deviation
(%)
Torque @
3,000 rpm (Nm)
47.5 46.8 -1.5
Efficiency @
100 % load (%)
95.0 94.3 -0.7
Stator winding
ΔT (°C)
83 80 -3.6
Rotor core ΔT
(°C)
69 73 +5.8
Housing ΔT (°C) 45 45 0.0
• Torque and efficiency measurements closely follow sim-
ulation (≤ 2 % deviation).
• Thermal rise in the rotor core is slightly higher than pre-
dicted (+5.8 %), likely due to simplifications in the
lumped-parameter thermal model.
• Overall trends confirm the validity of the FEA models
and loss predictions.
• Efficiency vs. Load
• Thermal Performance
Table 8. Efficiency was measured under various load con-
ditions and compared with simulation results
Load
(%)
Simulated
Efficiency (%)
Measured
Efficiency (%)
Deviation
(%)
25 85.1 84.3 -0.9
50 91.3 91.0 -0.3
75 94.2 93.7 -0.5
100 95.0 94.5 -0.5
125 94.1 93.3 -0.9
Table 9. Temperature rise in key components (stator
winding, rotor core, and housing) was measured
Component
Simulated
ΔT (°C)
Measured
ΔT (°C)
Deviation
(%)
Stator Winding 83 80 -3.6
Rotor Core 69 73 +5.8
Housing 45 45 0.0
Torque-Speed Agreement: The torque characteristics from
the simulation and experiments were highly consistent. Mi-
nor deviations in the field-weakening region can be at-
tributed to additional mechanical losses that are not cap-
tured in the idealized FEA model [19–24].
Efficiency: Efficiency measurements at various loads
showed excellent agreement with simulation predictions
(deviation <1%). This confirms the accuracy of the loss
models (copper, core, and eddy current losses) used in the
simulations.
Thermal Performance: The thermal simulations predicted
temperature rises within a reasonable margin of error for
the stator and housing. However, the rotor core tempera-
ture was slightly higher in the experiments. This could be
due to additional losses (e.g., iron losses) and the simplifi-
cation of thermal models in the FEA simulation.
Fig 4. M-file Program of Double cage IM in MATLAB
Fig 5. DCIM Torque-speed curve and Efficiency
Fig 6. Starting Transient Versus Speed(rpm)
40
Відновлювана енергетика. № 4/2025 | Комплексні проблеми енергетичних систем на основі НВДЕ
Conclusion and Future Work
• Superior performance of IPMSM: Demonstrated 95 %
efficiency and 7.5 Nm/kg torque density, outperforming
IM and SPMSM benchmarks.
• Robust speed-torque envelope: Achieved a con-
stant-torque region to 3,000 rpm and stable field-weak-
ening to 6,500 rpm.
• Thermal compliance: Maintained component tempera-
tures below insulation limits under natural cooling.
• E-mobility suitability: Met requirements for compact-
ness, efficiency, and regenerative braking in EV applica-
tions.
Contributions of the Study
• Developed an optimized IPMSM design methodology
combining 2D/3D FEA with multi-objective parameter
sweeps.
• Provided a comprehensive comparative framework
against conventional motor technologies.
• Validated thermal and electromagnetic performance
for practical e-mobility deployment.
• Presented clear design trade-offs to guide future ma-
chine development.
Recommendations for Future Research
• Advanced cooling strategies: Investigate liquid-cooling
channels or integrated heat pipes to push continuous
power density higher.
• Cost-reduction pathways: Explore alternative magnet
materials (e.g., ferrites or ferrite-NdFeB hybrids) and
end-of-life recycling.
• Control algorithm enhancements: Implement sensor-
less vector control and model predictive control to fur-
ther improve dynamic performance.
• Prototype testing: Build and test a lab-scale prototype
to validate simulation predictions and refine losses
models.
• System-level integration: Study motor–inverter match-
ing, drivetrain packaging, and NVH (noise, vibration,
harshness) characteristics in a complete vehicle setup.
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| id | veorgua-article-573 |
| institution | Vidnovluvana energetika |
| keywords_txt_mv | keywords |
| language | English |
| last_indexed | 2026-07-19T01:17:34Z |
| publishDate | 2025 |
| publisher | Institute of Renewable Energy National Academy of Sciences of Ukraine |
| record_format | ojs |
| resource_txt_mv | veorgua/69/3ba672592298278466216ea3cfeea469.pdf |
| spelling | veorgua-article-5732026-07-18T06:32:23Z ENERGY-EFFICIENT DOUBLE CAGE INDUCTION MOTOR DESIGN AND SIMULATION FOR RENEWABLE-POWERED ELECTRIC VEHICLES ЕНЕРГОЕФЕКТИВНЕ ПРОЄКТУВАННЯ ТА МОДЕЛЮВАННЯ АСИНХРОННОГО ДВИГУНА З ПОДВІЙНОЮ КЛІТКОЮ ДЛЯ ЕЛЕКТРОМОБІЛІВ З ЖИВЛЕННЯМ ВІД ВІДНОВЛЮВАНИХ ДЖЕРЕЛ ЕНЕРГІЇ Patel, Dhavalkumar Kantilal Kumar, E. Vijay Swarupa, M. Lakshmi Renewable Energy Integration, Double Cage Induction Motor (DCIM), Energy Efficiency, Thermal Performance, Torque Characteristics, Sustainable Mobility, Finite Element Analysis (FEA), MATLAB Simulation. інтеграція відновлюваної енергії, асинхронний двигун з подвійною кліткою (DCIM), енергоефективність, теплові характеристики, моментні характеристики, сталість транспорту, аналіз методом скінченних елементів (FEA), MATLAB-моделювання. The rapid transition toward sustainable transportation and the increasing integration of renewable energy into mobility systems have accelerated the demand for efficient and robust electric motors. This study investigates the comprehensive design and simulation of a Double Cage Induction Motor (DCIM) for electric mobility, emphasizing its role in enhancing energy efficiency and supporting renewable-powered transportation. Analytical design and finite element method (FEM)-based simulations are employed to evaluate the motor’s performance under diverse operating conditions relevant to electric vehicles. The DCIM is highlighted for its superior torque response, adaptability, and durability, which are essential for the variability inherent in renewable energy-driven charging and electric propulsion. Performance indicators such as torque, efficiency, and losses are analyzed with a focus on reducing energy consumption and improving thermal management. The proposed design demonstrates enhanced starting characteristics, improved efficiency, and reliable performance, making it a strong candidate for advancing clean and renewable energy-based electric mobility systems. Швидкий перехід до сталого транспорту та зростаюча інтеграція відновлюваних джерел енергії у транспортні системи підсилюють потребу в ефективних та надійних електричних двигунах. У цьому дослідженні розглянуто комплексне проєктування та моделювання асинхронного двигуна з подвійною кліткою (Double Cage Induction Motor — DCIM) для електромобільності з акцентом на підвищенні енергоефективності та підтримці транспорту, що працює на відновлюваних джерелах. Використано аналітичне проєктування та моделювання на основі методу скінченних елементів (FEM) для оцінювання робочих характеристик двигуна в різних режимах роботи, характерних для електромобілів. DCIM вирізняється покращеною реакцією на навантаження, адаптивністю та довговічністю — важливими для умов, притаманних заряджанню від відновлюваних джерел і електричному приводу. Проаналізовано такі показники, як момент, ефективність та втрати, з акцентом на зменшенні енергоспоживання та покращенні теплового режиму. Запропонована конструкція демонструє покращені пускові характеристики, підвищену ефективність і надійну роботу, що робить її перспективним рішенням для розвитку електромобільності, заснованої на чистих і відновлюваних джерелах енергії. Institute of Renewable Energy National Academy of Sciences of Ukraine 2025-12-27 Article Article application/pdf https://ve.org.ua/index.php/journal/article/view/573 10.36296/1819-8058.2025.4(83).34-41 Vidnovluvana energetika ; No. 4(83) (2025): Scientific and applied Journal renewable energy ; 34-41 Возобновляемая энергетика; ##issue.no## 4(83) (2025): Scientific and applied Journal renewable energy ; 34-41 Відновлювана енергетика; № 4(83) (2025): Науково-прикладний журнал Відновлювана енергетика; 34-41 2664-8172 1819-8058 10.36296/1819-8058.2025.4(83) en https://ve.org.ua/index.php/journal/article/view/573/484 Copyright (c) 2025 Dhavalkumar Kantilal Patel, E. Vijay Kumar, M. Lakshmi Swarupa https://creativecommons.org/licenses/by-nc-nd/4.0 |
| spellingShingle | Renewable Energy Integration Double Cage Induction Motor (DCIM) Energy Efficiency Thermal Performance Torque Characteristics Sustainable Mobility Finite Element Analysis (FEA) MATLAB Simulation. Patel, Dhavalkumar Kantilal Kumar, E. Vijay Swarupa, M. Lakshmi ENERGY-EFFICIENT DOUBLE CAGE INDUCTION MOTOR DESIGN AND SIMULATION FOR RENEWABLE-POWERED ELECTRIC VEHICLES |
| title | ENERGY-EFFICIENT DOUBLE CAGE INDUCTION MOTOR DESIGN AND SIMULATION FOR RENEWABLE-POWERED ELECTRIC VEHICLES |
| title_alt | ЕНЕРГОЕФЕКТИВНЕ ПРОЄКТУВАННЯ ТА МОДЕЛЮВАННЯ АСИНХРОННОГО ДВИГУНА З ПОДВІЙНОЮ КЛІТКОЮ ДЛЯ ЕЛЕКТРОМОБІЛІВ З ЖИВЛЕННЯМ ВІД ВІДНОВЛЮВАНИХ ДЖЕРЕЛ ЕНЕРГІЇ |
| title_full | ENERGY-EFFICIENT DOUBLE CAGE INDUCTION MOTOR DESIGN AND SIMULATION FOR RENEWABLE-POWERED ELECTRIC VEHICLES |
| title_fullStr | ENERGY-EFFICIENT DOUBLE CAGE INDUCTION MOTOR DESIGN AND SIMULATION FOR RENEWABLE-POWERED ELECTRIC VEHICLES |
| title_full_unstemmed | ENERGY-EFFICIENT DOUBLE CAGE INDUCTION MOTOR DESIGN AND SIMULATION FOR RENEWABLE-POWERED ELECTRIC VEHICLES |
| title_short | ENERGY-EFFICIENT DOUBLE CAGE INDUCTION MOTOR DESIGN AND SIMULATION FOR RENEWABLE-POWERED ELECTRIC VEHICLES |
| title_sort | energy-efficient double cage induction motor design and simulation for renewable-powered electric vehicles |
| topic | Renewable Energy Integration Double Cage Induction Motor (DCIM) Energy Efficiency Thermal Performance Torque Characteristics Sustainable Mobility Finite Element Analysis (FEA) MATLAB Simulation. |
| topic_facet | Renewable Energy Integration Double Cage Induction Motor (DCIM) Energy Efficiency Thermal Performance Torque Characteristics Sustainable Mobility Finite Element Analysis (FEA) MATLAB Simulation. інтеграція відновлюваної енергії асинхронний двигун з подвійною кліткою (DCIM) енергоефективність теплові характеристики моментні характеристики сталість транспорту аналіз методом скінченних елементів (FEA) MATLAB-моделювання. |
| url | https://ve.org.ua/index.php/journal/article/view/573 |
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