Appalabathula Venkatesh

Scopus Publications

Advanced Parametric Estimation Methods for Permanent Magnet BLDC Motor under Uncertainties: Quantification of EV Dynamics
Appalabathula Venkatesh, Shankar Nalinakshan
IEEE Access, 2026
Permanent magnet brushless DC motors (PMBLDCMs) are widely used in vehicles due to their high efficiency, better power density, and reliability. Precise motor parameter estimation is significant in improving the performance of the vehicle drive. This paper presents a comparative investigation of advanced parameter estimation techniques-namely Monte Carlo (MC), Markov Chain Monte Carlo (MCMC), Kalman Filter (KF), Extended Kalman Filter (EKF), Sequential Monte Carlo/Particle Filter (SMC/PF), and Unscented Kalman Filter (UKF) applied to a 250W PMBLDCM. With these advanced parametric estimation methods, PM-BLDC motors can be fine-tuned, resulting in more precise control over the motor’s torque, speed, and position of the drive. This leads to the development of fault-tolerant systems that can detect and respond to motor abnormalities in real-time, even under dynamic operating states. The motor model includes key parameters such as stator resistance (<inline-formula> <tex-math notation="LaTeX">$2.875\Omega $ </tex-math></inline-formula>),stator inductance (8.5mH), inertia (<inline-formula> <tex-math notation="LaTeX">$0.8\ast 10^{-3}$ </tex-math></inline-formula>kg.m<inline-formula> <tex-math notation="LaTeX">${}^{2}$ </tex-math></inline-formula>), viscous damping (<inline-formula> <tex-math notation="LaTeX">$1\ast 10^{-3}$ </tex-math></inline-formula>N.m.s), flux linkage (0.175wb) and torque constant (0.8N.m/A) by considering electric vehicle (EV) uncertainty quantifications. By incorporating uncertainty quantification techniques, the proposed approach enhances the reliability and accuracy of motor control, which is crucial for optimizing dynamic performance. Key outcomes shows that the UKF achieves superior accuracy and stability across all estimated parameters, making it highly effective for real-time PMBLDCM control in EV applications.
An adaptive super-twisting sliding mode control strategy for energy and torque optimisation in hydrogen fuel cell electric vehicles
Appalabathula Venkatesh, Simhadri Phani Kumar, Tousif Khan Nizami
International Journal of Mathematical Modelling and Numerical Optimisation, 2026
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Optimized control strategies for BLDC motor in sustainable energy systems: enhancing stability and performance through intelligent controllers, filtering techniques and internal model control
Appalabathula Venkatesh, Shankar Nalinakshan, S. Phani Kumar, S.S. Kiran, K. Akash
Global Energy Interconnection, 2026
The challenge of achieving reliable and efficient control of Brushless DC Motors (BLDCMs) in electric and hybrid vehicles, where system nonlinearities and dynamic disturbances hinder traditional control methods, is analysed in this article. It compares conventional and intelligent control techniques through both time- and frequency- domain analyses. Metrics such as speed, torque, back Electromotive Force (EMF), and phase currents are evaluated under different conditions. Although standard PID and PI controllers are common, their tuning becomes complicated by nonlinear behaviors and limited flexibility. The study explores advanced methods like Sliding Mode Control (SMC), Fuzzy Logic Control (FLC), and hybrid strategies that combine FLC and SMC with PI control to enhance transient and steady-state performance. Filtering techniques like the Extended Kalman Filter (EKF) and Particle Filter (PF) are used to improve state estimation and noise reduction, with PF outperforming EKF by approximately 30%. The Internal Model Control (IMC), including its two-degree-of-freedom (2-DoF) variant, is also analyzed for its ability to enhance gain margin and stability in non-minimum phase systems. These hybrid control schemes offer better disturbance rejection, faster settling times, and greater robustness, showing promise for increasing the reliability of BLDCM-driven sustainable transportation systems.
A robust machine learning-based system for battery grading and lifecycle prediction for electric vehicle applications
Appalabathula Venkatesh, J. Vijaya Kumar, S. Phani Kumar, S. S. Kiran, K. Ashwini, L. Vijay, B. Muralidhar
International Journal of Information Technology Singapore, 2025
Performance evaluation of various electric vehicle drive systems in energy efficient grid integrated renewable systems
Harish Sesham, J. Vijaya Kumar, Appalabathula Venkatesh
International Journal of Information Technology Singapore, 2025
Analyzing the performance of Cascaded H-Bridge Multilevel Inverter with three phase multiwinding transformer and single phase supply
Social Science Forum, 2025
DESIGN OF NON-ISOLATED DC-DC CONVERTER-BASED LED DRIVER FOR ELECTRIC VEHICLES
Arpn Journal of Engineering and Applied Sciences, 2025
This paper introduces a non-isolated DC-DC converter (NIDDC) tailored for automotive lighting, addressing the challenges of high-power consumption and voltage sensitivity in conventional systems. This system employs two switches to reduce the voltage stress across the switches and improve the system efficiency by 94%. The NIDDC converter is designed in such a way that it has reduced voltage and current ripple. Conduction and switching losses are calculated to evaluate system efficiency, validated through simulation in MATLAB software, and the realization of a 70 W power-rated prototype. Extensive testing under wide input voltage variations (10 to 50 V) for a 30 V/0.7A light-emitting diode (LED) string confirms the NIDDC's robustness and effectiveness in real-world conditions, offering a promising solution for enhancing automotive headlight performance and safety.
Design of IoT-Based Smart Fault Detection System for Transmission Lines
S S Kiran, Appalabathula Venkatesh, P Jairam, S.Santhi Kumari, P Yamini, P Pradeep Kumar
2025 IEEE 2nd International Conference on Green Industrial Electronics and Sustainable Technologies Giest 2025, 2025
Transmission line faults pose a significant challenge to the safety, reliability, and efficiency of power distribution networks. This paper outlines the design and development of an IoT-based smart fault detection system for transmission lines, utilizing affordable microcontrollers such as Arduino and NodeMCU ESP8266. The system employs real-time voltage monitoring and threshold-based fault classification to identify short circuits, overloads, and line-to-ground faults accurately. Upon detecting a fault, data, including voltage dips, timestamps, and GPS location, are transmitted to a cloud-connected monitoring dashboard (ThingSpeak/Blynk), providing instant alerts and visualization via a web interface. This solution minimizes reliance on manual inspections, reduces downtime by isolating faults in under 1.2 seconds, and enables predictive maintenance through analysis of fault frequency and voltage sag patterns. Experimental results demonstrate 96.7% fault detection accuracy with communication delays of less than 5 seconds, indicating its potential for large-scale deployment in smart grid environments. The system is cost-effective, scalable, and reliable, making it an efficient solution for future intelligent power distribution.
Design and Implementation of an AI-Controlled Density-Based Signal Light Management System for Sustainable Smart Cities Using STM32-Nucleo
S S Kiran, Appalabathula Venkatesh, K Guru Charan, L Urmila, M. Sanjay, K Sireesha
2025 IEEE 2nd International Conference on Green Industrial Electronics and Sustainable Technologies Giest 2025, 2025
Managing urban traffic is challenging due to increasing vehicle numbers, leading to congestion, delays, and fuel wastage. Traditional traffic signals operate on fixed timings, which do not adapt to real-time traffic flow. This project presents an AI-controlled density-based traffic signal management system using the STM32-Nucleo board to optimize traffic control. The system uses AI to detect traffic density and dynamically adjust signal durations. By processing real-time data, it ensures smooth vehicle movement, reducing unnecessary waiting times. Unlike conventional systems, this innovative approach minimizes congestion, fuel consumption, and pollution without requiring significant infrastructure changes. This AI-based system enhances road safety, prevents signal violations, and improves overall traffic efficiency. It is Scalable and can be deployed across multiple intersections, creating a network of intelligent traffic signals for better urban traffic management.
Design and Development of a Low-Cost Innovative E-Bike with Integrated Speed Limiting and Geometric Performance Testing: A Case Study Approach
Appalabathula Venkatesh, J Vijaya Kumar, S S Kiran, Durga Hemanth Yannam Reddy, Rakesh Kona, Ramana Babu Sanapala
2025 IEEE 2nd International Conference on Green Industrial Electronics and Sustainable Technologies Giest 2025, 2025
This paper explores the design and performance evaluation of an affordable electric bicycle (e-bike) equipped with integrated speed-limiting systems and geometric performance assessments. The goal is to enhance the efficiency, safety, and overall functionality of e-bikes for everyday use. Case Study 1 analyzes the impact of the initial speed limiter on the e-bike’s energy efficiency, range, and battery performance. Case Study 2 examines a second speed-limiting system, comparing it with the first to determine the most effective approach for managing speed while optimizing energy consumption. Case Study 3 evaluates the e-bike’s stability and maneuverability on circular and triangular paths, examining its performance across different environments. Results indicate that the e-bike is well-suited for everyday use, successfully balancing speed, energy usage, and comfort. The study suggests that incorporating speed-limiting features and geometric evaluations could greatly enhance e-bike technology and support environmental sustainability.
Development of Artificial Intelligence Based Advanced Battery Management System with Enhanced Charging Monitoring and Fire Protection for Electric Vehicles
Appalabathula Venkatesh, J. Vijaya Kumar, Surender Reddy Salkuti, Ch. Abhiram, Repuri Sumasri, Unnamatla Gold, Gunuru Jagadeesh
Lecture Notes in Electrical Engineering, 2025
Designing of self balancing amplitude modulated five level inverter for reducing voltage stress gradients on converter switches for electric vehicles
Appalabathula Venkatesh, Harish Sesham, Vijaya Kumar J, Kiran S S, Surender Reddy Salkuti, Seong-Cheol Kim
Franklin Open, 2024
Development of an Intelligent Control Strategy for a Hybrid Energy System Integrated with the HEV Drive
Appalabathula Venkatesh, Shankar Nalinakshan
IETE Journal of Research, 2024
Design and Development of Electrical System for Retrofitting a Turning Centre
N. Spoorthi, Shankar Nalinakshan, H. Basaraju, Appalabathula Venkatesh
Lecture Notes in Electrical Engineering, 2024
Cyber-physical systems for hybrid braking control techniques in hybrid electric vehicles
Appalabathula Venkatesh, S. Phani Kumar, S. S. Kiran, K. Gurucharan
International Journal of Information Technology Singapore, 2024
Intelligent Excitation System for Efficient Control of Dual Stator Winding Permanent Magnet Synchronous Generator in Hybrid Power System Applications
Appalabathula Venkatesh, Shankar Nalinakshan
Lecture Notes in Electrical Engineering, 2023
Controlling BLDC Motor with Bidirectional Converters with Cyber-Physical Systems
B B Thrishana, Shankar Nalinakshan, Appalabathula Venkatesh, B B Nishana
Proceedings of Conecct 2023 9th International Conference on Electronics Computing and Communication Technologies, 2023
Design and Implementation of Electrical system in H-Gantry automation for Double Disc Front Brake
H. N. Srinivasa Nayaka, Shankar Nalinakshan, M.S. Ganesh Prasad, Vikram Y, Appalabathula Venkatesh
Icrtec 2023 Proceedings IEEE International Conference on Recent Trends in Electronics and Communication Upcoming Technologies for Smart Systems, 2023
Stability Testing and Restoration of a DEIG-Based Wind Power Plant with Indirect Grid Control Strategies
Appalabathula Venkatesh, Shankar Nalinakshan, V. N. Jayasankar, V. Aneesh, S. S. Kiran, V. Sivasubramanian
IETE Journal of Research, 2023
Voltage Source Converter with Different Control Strategies for a MicroGrid-connected Solar PV with Nonlinear Loads for Current Harmonics Compensation
Appalabathula Venkatesh, Shankar Nalinakshan, K Aswini
2022 IEEE International Conference on Electronics Computing and Communication Technologies Conecct 2022, 2022
Consistency of Extended Kalman Filtering and Particle Filtering Techniques for the State Estimation of Brushless DC Motor
Appalabathula Venkatesh, Shankar Nalinakshan, M. Tony Aby Varkey
Lecture Notes in Electrical Engineering, 2021
Dynamically Adaptive Gain Super Twisting Sliding Mode Control for Extending the range of Hydrogen Fuel Cell based Electric Vehicles
Appalabathula Venkatesh, Shankar Nalinakshan, S Phani Kumar
Proceedings of Conecct 2021 7th IEEE International Conference on Electronics Computing and Communication Technologies, 2021
Brushless motor performance optimization by eagle strategy with firefly and PSO
Appalabathula Venkatesh, Pradeepa H, Chidanandappa R, Shankar Nalinakshan, Jayasankar V N
International Journal of Engineering Trends and Technology, 2020
Energy transmission control for a Grid-connected modern power system Non-Linear loads with a Series Multi-Stage Transformer Voltage Reinjection with controlled converters
Appalabathula Venkatesh, Shankar Nalinakshan, Kiran S S, Pradeepa H
International Journal of Engineering Trends and Technology, 2020

RECENT SCHOLAR PUBLICATIONS

Using space technology approach to improve quality in emergency departments in India: a quality improvement program
S Kumar, G Vikneswaran, J Suryavamshi, S Kumar, M Shaik, GK Reshma, ...
International Journal for Quality In Health Care 38 (1), mzae116 , 2026
2026
Optimized control strategies for BLDC motor in sustainable energy systems: Enhancing stability and performance through intelligent controllers, filtering techniques and …
A Venkatesh, S Nalinakshan, SP Kumar, SS Kiran, K Akash
Global Energy Interconnection , 2025
2025
Citations: 1
A robust machine learning-based system for battery grading and lifecycle prediction for electric vehicle applications
A Venkatesh, JV Kumar, SP Kumar, SS Kiran, K Ashwini, L Vijay, ...
International Journal of Information Technology 17 (8), 4767-4777 , 2025
2025
Design of IoT-Based Smart Fault Detection System for Transmission Lines
SS Kiran, A Venkatesh, P Jairam, SS Kumari, P Yamini, PP Kumar
2025 IEEE 2nd International Conference on Green Industrial Electronics and … , 2025
2025
Design and Implementation of an AI-Controlled Density-Based Signal Light Management System for Sustainable Smart Cities Using STM32-Nucleo
SS Kiran, A Venkatesh, KG Charan, L Urmila, M Sanjay, K Sireesha
2025 IEEE 2nd International Conference on Green Industrial Electronics and … , 2025
2025
Development of Artificial Intelligence Based Advanced Battery Management System with Enhanced Charging Monitoring and Fire Protection
A Venkatesh, JV Kumar, SR Salkuti
Artificial Intelligence for Integrated Smart Energy Systems in Electric … , 2025
2025
Citations: 6
Long-Term Mating (LTM) and Birth Order
A Venkatesh, S Bansal
Encyclopedia of Sexual Psychology and Behavior, 1-6 , 2025
2025
Performance evaluation of various electric vehicle drive systems in energy efficient grid integrated renewable systems
H Sesham, J Vijaya Kumar, A Venkatesh
International Journal of Information Technology, 1-18 , 2025
2025
Citations: 9
An adaptive super-twisting sliding mode control strategy for energy and torque optimisation in hydrogen fuel cell electric vehicles
TKN Appalabathula Venkatesh, Simhadri Phani Kumar
International Journal of Mathematical Modelling and Numerical Optimisation , 2025
2025
Modelling, optimisation, and experimental evaluation of predictive maintenance strategies for LiFePO₄ battery health in e-bikes
TKN Appalabathula Venkatesh, Simhadri Phani Kumar
International Journal of Mathematical Modelling and Numerical Optimisation , 2025
2025
Cyber-physical systems for hybrid braking control techniques in hybrid electric vehicles
A Venkatesh, SP Kumar, SS Kiran, K Gurucharan
International Journal of Information Technology, 1-17 , 2024
2024
Citations: 10
Designing of self balancing amplitude modulated five level inverter for reducing voltage stress gradients on converter switches for electric vehicles
A Venkatesh, H Sesham, V Kumar, K SS, SR Salkuti, SC Kim
Franklin Open 7, 100114 , 2024
2024
Citations: 5
Development of an intelligent control strategy for a hybrid energy system integrated with the HEV drive
A Venkatesh, S Nalinakshan
IETE Journal of Research 70 (3), 3067-3086 , 2024
2024
Citations: 9
Design and Development of Electrical System for Retrofitting a Turning Centre
N Spoorthi, S Nalinakshan, H Basaraju, A Venkatesh
International Conference on Robotics, Control, Automation and Artificial … , 2023
2023
Controlling BLDC motor with bidirectional converters with cyber-physical systems
BB Thrishana, S Nalinakshan, A Venkatesh, BB Nishana
2023 IEEE International Conference on Electronics, Computing and … , 2023
2023
Citations: 5
Design of dynamic voltage restorer in the power quality improvement for voltage problems
A Venkatesh, PS Kumar
Applied Nanoscience 13 (4), 2985-2995 , 2023
2023
Citations: 18
Intelligent Excitation System for Efficient Control of Dual Stator Winding Permanent Magnet Synchronous Generator in Hybrid Power System Applications
A Venkatesh, S Nalinakshan
Soft Computing Applications in Modern Power and Energy Systems: Select … , 2023
2023
Citations: 1
Design and implementation of electrical system in h-gantry automation for double disc front brake
HNS Nayaka, S Nalinakshan, MSG Prasad, A Venkatesh
2023 International Conference on Recent Trends in Electronics and … , 2023
2023
Citations: 2
Voltage Source Converter with Different Control Strategies for a MicroGrid-connected Solar PV with Nonlinear Loads for Current Harmonics Compensation
A Venkatesh, S Nalinakshan, K Aswini
2022 IEEE International Conference on Electronics, Computing and … , 2022
2022
Citations: 7
Dynamically adaptive gain super twisting sliding mode control for extending the range of hydrogen fuel cell based electric vehicles
A Venkatesh, S Nalinakshan, SP Kumar
2021 IEEE International Conference on Electronics, Computing and … , 2021
2021
Citations: 10

MOST CITED SCHOLAR PUBLICATIONS

Design of dynamic voltage restorer in the power quality improvement for voltage problems
A Venkatesh, PS Kumar
Applied Nanoscience 13 (4), 2985-2995 , 2023
2023
Citations: 18
Cyber-physical systems for hybrid braking control techniques in hybrid electric vehicles
A Venkatesh, SP Kumar, SS Kiran, K Gurucharan
International Journal of Information Technology, 1-17 , 2024
2024
Citations: 10
Dynamically adaptive gain super twisting sliding mode control for extending the range of hydrogen fuel cell based electric vehicles
A Venkatesh, S Nalinakshan, SP Kumar
2021 IEEE International Conference on Electronics, Computing and … , 2021
2021
Citations: 10
Performance evaluation of various electric vehicle drive systems in energy efficient grid integrated renewable systems
H Sesham, J Vijaya Kumar, A Venkatesh
International Journal of Information Technology, 1-18 , 2025
2025
Citations: 9
Development of an intelligent control strategy for a hybrid energy system integrated with the HEV drive
A Venkatesh, S Nalinakshan
IETE Journal of Research 70 (3), 3067-3086 , 2024
2024
Citations: 9
Recent advances in power electronics and drives
S Kumar, B Singh, AK Singh
Select Proceedings of EPREC , 2021
2021
Citations: 8
An Improved Adaptive Smo for Speed Estimation of Sensorless Dsfoc Induction Motor Drives and Stability Analysis using Lyapunov Theorem at Low Frequencies
A Venkatesh, S Naliankshan
International Journal of Engineering Research & Technology (IJERT) 8 (09 … , 2019
2019
Citations: 8
Voltage Source Converter with Different Control Strategies for a MicroGrid-connected Solar PV with Nonlinear Loads for Current Harmonics Compensation
A Venkatesh, S Nalinakshan, K Aswini
2022 IEEE International Conference on Electronics, Computing and … , 2022
2022
Citations: 7
Consistency of Extended Kalman Filtering and Particle Filtering Techniques for the State Estimation of Brushless DC Motor
A Venkatesh, S Nalinakshan, MTA Varkey
Recent Advances in Power Electronics and Drives, 327-337 , 2020
2020
Citations: 7
Development of Artificial Intelligence Based Advanced Battery Management System with Enhanced Charging Monitoring and Fire Protection
A Venkatesh, JV Kumar, SR Salkuti
Artificial Intelligence for Integrated Smart Energy Systems in Electric … , 2025
2025
Citations: 6
Stability Testing and Restoration of a DEIG-Based Wind Power Plant with Indirect Grid Control Strategies
Appalabathula Venkatesh,Shankar Nalinakshan,V. N. Jayasankar,V. Aneesh,S. S ...
IETE Journal of Research, 1-15 , 2021
2021
Citations: 6
Energy transmission control for a Grid-connected modern power system Non-Linear loads with a Series Multi-Stage Transformer Voltage Reinjection with controlled converters
Appalabathula Venkatesh, Shankar Nalinakshan, Kiran S S, Pradeepa H
arXiv preprint arXiv:2010.01514 68 (8), 97-101 , 2020
2020
Citations: 6
Brushless Motor Performance Optimization by Eagle Strategy with Firefly and PSO
Appalabathula Venkatesh, Pradeepa H, Chidanandappa R, Shankar Nalinakshan ...
SSRG International Journal of Engineering Trends and Technology (IJETT) 68 … , 2020
2020
Citations: 6
Designing of self balancing amplitude modulated five level inverter for reducing voltage stress gradients on converter switches for electric vehicles
A Venkatesh, H Sesham, V Kumar, K SS, SR Salkuti, SC Kim
Franklin Open 7, 100114 , 2024
2024
Citations: 5
Controlling BLDC motor with bidirectional converters with cyber-physical systems
BB Thrishana, S Nalinakshan, A Venkatesh, BB Nishana
2023 IEEE International Conference on Electronics, Computing and … , 2023
2023
Citations: 5
Air quality assessment of Dhanbad District, India-A case study
A Venkatesh, G Singh, DV Reddy
International Journal of Earth Sciences and Engineering 3 (3), 409-415 , 2010
2010
Citations: 4
Scour around the bridge structure-review
P Mehaladevi, A Venkatesh
Int J Civil Eng Technol 8, 190-201 , 2020
2020
Citations: 3
An Improved Adaptive Control System for a Two Wheel Inverted Pendulum-Mobile Robot using Eagle Strategy with a Particle Swarm Optimization
Appalabathula Venkatesh, Dr G Raja Rao
Journal of Emerging Technologies and Innovative Research 5 (7), 137-145 , 2018
2018
Citations: 3
Design and implementation of electrical system in h-gantry automation for double disc front brake
HNS Nayaka, S Nalinakshan, MSG Prasad, A Venkatesh
2023 International Conference on Recent Trends in Electronics and … , 2023
2023
Citations: 2
Performance Analysis of High Voltage Intelligent Supervisory Systems Using Neural Networks
PS Kumar, S Meenakshi, A Venkatesh
Int. J. Adv. Sci. Eng 6 (4), 1525-1532 , 2020
2020
Citations: 2

Appalabathula Venkatesh

RESEARCH INTERESTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS