Solar wireless electric vehicle charging system O.P. Suresh, Salava V. Satyanarayana, P. Hema Bindu, K. Anand, N. Srujith Kumar, V. Sujith E3s Web of Conferences, 2024 The automotive industry has undergone a transformation with the growing popularity of electrical vehicles, which provide an eco-friendlier and cleaner substitute for conventional fuel-powered cars. However, the scarcity of EV charging stations is impeding the widespread use of electric vehicles. This research offers a novel wireless EV charging technology that runs on solar energy as a solution to this problem, providing EV owners worldwide with affordable and environmentally friendly options. The wireless power transmission technology at the centre of the suggested system allows EVs to charge without the need for physical hookups. This technology improves user accessibility and safety while doing away with the need for cords. By using solar energy, one can lessen their reliance on traditional power sources increasing the cost- and environmentally-effectiveness of the charging. Comparing this strategy to the conventional plug-in EV charging techniques reveals a number of benefits. The system's ability to charge electric vehicles (EVs) while they are in motion further improves user convenience and reduces discharge time. Solar power offers a sustainable and renewable energy source, minimizing reliance on the power grid and environmental impact. Wireless charging also eliminates the need for physical connections, improving safety and convenience. The purpose of this study is to solve the shortcomings of the conventional electric vehicle systems and offer an innovative solution that will further the development of sustainable transportation. The combination of solar energy and wireless charging for electric vehicles not only promotes the use of sustainable energy. It also encourages the growth of an energy ecosystem that is more flexible and interconnected, paving the path for more environmentally friendly and effective city transport in the future.
Prediction of Voltage Discharge for Electric Tricycle Using Machine Learning Algorithms Salava V Satyanarayana, Pillalamarri Madhavi, Vadla NavaKishore, Pedda Suresh Ogeti Proceedings of the 2024 2nd International Conference on Cyber Physical Systems Power Electronics and Electric Vehicles Icpeev 2024, 2024 The application of Supervised Machine Learning Algorithms for the prediction of Voltage discharge in Electric Tricycles will be explored in this paper. This research investigates the effectiveness of machine learning in predicting the voltage discharge based on the various tricycle operational data. This includes collecting data on discharge voltage, potentially alongside factors like Motor temperature, power, and terrain. Machine learning Algorithms will predict the voltage discharge by training with data. This will ultimately enhance the user experience for electric tricycle riders by providing them with a reliable indication of their remaining range.
Prediction of Power and Current for Self Charging E-Bicycle Using Machine Learning Algorithms Pillalamarri Madhavi, Salava V Satyanarayana, Pedda Suresh Ogeti, Shaik Meer Subhani Ali, Santosh Madeva Naik Proceedings of the 2024 2nd International Conference on Cyber Physical Systems Power Electronics and Electric Vehicles Icpeev 2024, 2024 The development of transportation-related technologies that can significantly reduce fossil fuel consumption is one of the world's most critical needs. The excessive use of fossil fuels, which greatly contributes to pollution and global warming, poses a severe threat to our planet. An electric bicycle represents an alternate solution to mitigate this issue. Due to its superior performance life-cycle and significant advancements in the transportation sector, lithium-ion battery technology is rapidly gaining recognition as a sustainable battery option for E-Bicycles. This Paper aims to extend battery life by recycling energy during operation using a dynamo. By applying supervised machine learning techniques, power and current can be forecast to enhance production and consumption, thereby increasing the bicycle's speed.
Optimal preview stator voltage-oriented control of DFIG WECS Bidyadhar Subudhi, Pedda Suresh Ogeti Iet Generation Transmission and Distribution, 2018 In this study, a new optimal preview control (OPC) is proposed for stator active and reactive power controls of a doubly fed induction generator (DFIG) wind energy conversion system (WECS). These powers are controlled by rotor currents to avoid the stator active and reactive power pulsations. This OP controller is designed based on linear quadratic regulator (LQR) approach. In view of efficient superior tracking and disturbance rejection ability, OPC is chosen to control active and reactive powers of WECS. The proposed OPC is designed in order to minimise the error due to cross-coupling-induced electromotive force (emf) and emf-induced due to stator flux using feedforward compensation loops. This controller is developed for both sub-synchronous and super-synchronous modes of DFIG with stator voltage-oriented control (SVOC). An augmented error system is derived for tracking the desired response (active and reactive power controls) of DFIG WECS. Then, the constraints in error state equation are minimised by selecting quadratic performance index in which weighing factors are used for achieving faster rotor current control dynamics. Finally, pulse width modulation switching scheme for voltage-source converters has been designed with outputs of rotor current control loop dynamics. Extensive simulations are conducted using MATLAB/Simulink and then experiments are carried out using OPAL-RT and hardware set-up developed in the laboratory for DFIG WECS for validating the efficacy of the proposed control algorithm. The performances of the proposed LQR-OPC are compared with that of sliding mode field-oriented control (SM-FOC) and direct torque control (SM-DTC). From the comparison, it is observed that the LQR-OPC algorithm with SVOC technique applied to DFIG WECS provides excellent steady-state stability and zero steady-state error in face of transient disturbances both on rotor side and grid side compared with traditional FOC and DTC methods.
Sliding mode approach to torque and pitch control for a wind energy system Bidyadhar Subudhi, Pedda Suresh Ogeti 2012 Annual IEEE India Conference Indicon 2012, 2012 Wind energy, is a variable source which requires a robust controller to achieve good pitch and torque control performance. A sliding mode control(SMC) strategy is proposed to ensure stability by using Torque and Pitch control despite of model uncertainties in Double fed induction generator (DFIG) for wind energy conversion system. This technique was implemented in MATLAB SIMULINK and Field Programmable Gate Arrays (FPGA). The generator-side converter (rectifier) is used to control the speed or torque of the generator with maximum power point tracking (MPPT) scheme. The grid-side converter (inverter) is employed for the control of DC link voltage and grid-side reactor power. Performance of the SMC has been compared with Hill Climbing (HC) algorithm and Perturb and Observe (P&O) algorithm. Finally the results obtained in MATLAB SIMULINK are implemented in FPGA. Both simulation and validation results show that the proposed control strategy is effective in terms of power regulation. Moreover, the sliding mode approach is arranged so as to produce no chattering in the generated torque that could lead to increased mechanical stress because of strong torque variations.
Sliding mode approach to torque and pitch control for an wind energy system using FPGA Bidyadhar Subudhi, Pedda Suresh Ogeti Archives of Control Sciences, 2012 Wind energy, being a fluctuating resource, requires a tight control management to ensure stability when integrated with the grid system. This has triggered interest towards developing advanced controllers. Hence this paper presents the study of a variable speed wind energy conversion system that uses a Double Fed Induction Generator (DFIG). Above rated wind speed, pitch control has been applied and below the rated speed torque control has been adopted. Generator torque control is able to reduce the effects of the pitch actuator limitations. Sliding mode control is applied for torque and pitch control in WECS and it has been implemented in MATLAB SIMULINK and FPGA to achieve control of active and reactive power exchange between the stator of the DFIG and the grid. Performance parameters like pitch angle, active, reactive power, turbine speed, and DC voltage has been compared by using SMC, Hill Climbing (HC) Algorithm and Perturb and Observe (P&O) Algorithm and performance for these three methods has been simulated and implemented in FPGA. Total Harmonic Distortion for all the performance parameters has been reported. Hardware implementation of developed algorithm was accomplished with the help of Xilinx system generator and Xilinx Tool Kit.
RECENT SCHOLAR PUBLICATIONS
Optimal preview stator voltage‐oriented control of DFIG WECS B Subudhi, PS Ogeti IET Generation, Transmission & Distribution 12 (4), 1004-1013 , 2018 2018 Citations: 37
Non‐linear autoregressive moving average with exogenous input model‐based adaptive control of a wind energy conversion system B Subudhi, PS Ogeti The Journal of Engineering 2016 (7), 218-226 , 2016 2016 Citations: 59
Robust Active and Reactive Power Control Schemes for a Doubly Fed Induction Generator Based Wind Energy Conversion System PS Ogeti 2016
Sliding mode approach to torque and pitch control for a wind energy system B Subudhi, PS Ogeti 2012 Annual IEEE India Conference (INDICON), 244-250 , 2012 2012 Citations: 7
Sliding mode approach to torque and pitch control for an wind energy system using FPGA B Subudhi, PS Ogeti Archives of Control Sciences 22 (3), 285-302 , 2012 2012 Citations: 1
MOST CITED SCHOLAR PUBLICATIONS
Non‐linear autoregressive moving average with exogenous input model‐based adaptive control of a wind energy conversion system B Subudhi, PS Ogeti The Journal of Engineering 2016 (7), 218-226 , 2016 2016 Citations: 59
Optimal preview stator voltage‐oriented control of DFIG WECS B Subudhi, PS Ogeti IET Generation, Transmission & Distribution 12 (4), 1004-1013 , 2018 2018 Citations: 37
Sliding mode approach to torque and pitch control for a wind energy system B Subudhi, PS Ogeti 2012 Annual IEEE India Conference (INDICON), 244-250 , 2012 2012 Citations: 7
Sliding mode approach to torque and pitch control for an wind energy system using FPGA B Subudhi, PS Ogeti Archives of Control Sciences 22 (3), 285-302 , 2012 2012 Citations: 1
Robust Active and Reactive Power Control Schemes for a Doubly Fed Induction Generator Based Wind Energy Conversion System PS Ogeti 2016
