SEAS
Electrical and Electronics Engineering
Student Scholarly Activities
Post-doctoral scholars at SRM University-AP play a pivotal role in advancing research and innovation across various disciplines. These scholars, having completed their doctoral studies, engage in cutting-edge research projects under the mentorship of distinguished faculty members.

Revamping the Method of Advanced V/f Control for Precision Speed...
Abstract: This paper proposes a Random Forest (RF) machine learning algorithm-based
prediction model for the state of charge (SoC) level of lithium-ion batteries for electric vehicles. To show the effectiveness of the proposed prediction model performance, the RF model has been compared with the other machine learning algorithms such as Support Vector Machines (SVM) and Gradient Boosting (GB) approaches. The dataset includes cell temperature, state of charge (SoC), voltage, and current readings at three different external temperatures15, 25, and 30 degrees Celsius are considered in this paper to test the performances of the proposed model. After preprocessing of the dataset, 20% of the data was used for testing and the remaining 80% for training purposes. The various metrics such as mean squared error (MSE), mean absolute error (MAE), coefficient of determination (R^2), root mean squared error (RMSE), normalized root mean squared error (NRMSE), residual standard error (RSE), and relative absolute error (RAE) are usually preferred to evaluate the performance of the prediction models. The simulation results of the proposed model clearly show the effectiveness of SoC-level estimation for real-time battery management systems (BMS) when compared to other machine learning algorithms. The efficiency of the proposed model is 99% and execution time is less than 5 seconds. The accurate estimation of the SOC of lithium-ion batteries is crucial for optimizing battery performance, ensuring safety, and extending battery life in electric vehicles.
Venue: Raipur
Institute: NIT Raipur

Real Time Implementation of Buck Converter using Optimized Type Compensators
Abstract: This work investigates the application of Artificial Bee Colony (ABC) optimization for the design of Type compensators utilizing the dual-loop control scheme. The proposed Type compensators integrate the ABC optimization for regulating the closed-loop operation of a DC-DC buck converter. Such an integration of ABC optimization, aids in effectively regulating the output voltage and inductor current, besides ensuring enhanced time domain criteria. The proposed dual-loop control scheme consists of a current loop and a voltage loop. The current loop regulates the inductor current and the voltage loop regulates the output voltage.The efficacy of the proposed method is revealed through extensive simulation and experimental investigation under start-up response, step perturbations in external load. The experimentation is conducted on a laboratory prototype using dspace DS1104 control board.
Venue: Hotel Plaza, Begumpet, Hyderabad
Institute: Gokaraju Rangaraju Institute of Engineering & Technology

Independently controllable single-input dual-output DC-DC converter for DC microgrid based...
Abstract: A new non-isolated single-input dual-output (NISIDO) DC-DC converter is proposed in this paper. The converter has the advantage of incorporating multiple outputs for energy storage applications, applicable in DC micro-grid storage systems, Electric vehicular charging stations, battery converters, and renewable energy systems without a filter capacitor. The significant advantage of the converter is it uses the interleaving technique to incorporate the outputs. The voltage stress across the switches and capacitor voltage stress is also reduced drastically. Thus it reduces the capacitor size when compared with the conventional boost converter. A closed-loop control strategy is implemented to control the load voltage as well as the inductor current. The converter is designed, analyzed, implemented, and tested using MATLAB SIMULINK software for 150W. The Simulation results are presented under various operating conditions such as changes in load with solar PV systems. The results from real-time testing are presented with the OPAL-RT system.
Venue: Hotel Plaza, Hyderabad
Institute: Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad

A Novel Zero Voltage Switching Full Bridge Converter for Multiple...
Abstract: A new non-isolated single-input dual-output (NISIDO) DC-DC converter is proposed in this paper. The converter has the advantage of incorporating multiple outputs for energy storage applications, applicable in DC micro-grid storage systems, Electric vehicular charging stations, battery converters, and renewable energy systems without a filter capacitor. The significant advantage of the converter is it uses the interleaving technique to incorporate the outputs. The voltage stress across the switches and capacitor voltage stress is also reduced drastically. Thus it reduces the capacitor size when compared with the conventional boost converter. A closed-loop control strategy is implemented to control the load voltage as well as the inductor current. The converter is designed, analyzed, implemented, and tested using MATLAB SIMULINK software for 150W. The Simulation results are presented under various operating conditions such as changes in load with solar PV systems. The results from real-time testing are presented with the OPAL-RT system.
Venue: Hotel Plaza, Hyderabad
Institute: Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad

Small Signal Modelling and Load Regulation Analysis of Capacitor Current...
Abstract: A new non-isolated single-input dual-output (NISIDO) DC-DC converter is proposed in this paper. The converter has the advantage of incorporating multiple outputs for energy storage applications, applicable in DC micro-grid storage systems, Electric vehicular charging stations, battery converters, and renewable energy systems without a filter capacitor. The significant advantage of the converter is it uses the interleaving technique to incorporate the outputs. The voltage stress across the switches and capacitor voltage stress is also reduced drastically. Thus it reduces the capacitor size when compared with the conventional boost converter. A closed-loop control strategy is implemented to control the load voltage as well as the inductor current. The converter is designed, analyzed, implemented, and tested using MATLAB SIMULINK software for 150W. The Simulation results are presented under various operating conditions such as changes in load with solar PV systems. The results from real-time testing are presented with the OPAL-RT system.
Venue: Hotel Plaza, Hyderabad
Institute: Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad

Control Implementation of BKY Converter for EV Applications
Abstract: This paper proposes BKY converter, which is made to run in continuous conduction mode during both the charging and discharging cycles for low power EV applications. An analysis is conducted on the converter’s dynamic behaviour, and an approach to control is put forth to manage the power transfer between the traction system and battery in an electric vehicle. The suggested converter is designed using an extracted small-signal model. A significant ripple in the detected current causes switching instability in the current-mode control approaches at low duty ratios. The lowpass filter in the proposed average current mode control is positioned in the current loop’s feedback to suppress any high-frequency ripples. A computation delay occurs when the controller is implemented in the microcontroller. The control algorithm’s design takes this into account. A theoretical framework for current and voltage loop gain transfer functions are created using the realistic parameters of a BKY converter. Further, transient analysis is performed and validated by simulations.
Venue: Hotel Plaza, Begumpet, Hyderabad
Institute: Gokaraju Rangaraju College of Engineering and Technology