Control of 5φ induction motor for electric vehicles Mujahid Irfan, Sudhakar Angatha, Shriram Rangarajan, Sruthi Nookala, Mahesh Ontera, Bhavan Thummala, Suresh Badhavath, Chandu Prasad, Nandam, and Sunil Page AIP Publishing
Communication Protocols for Electric Vehicles: A Comprehensive Analysis Zaheda Sultana, CH Hussaian Basha, and Mohammed Mujahid Irfan IEEE Electric vehicles (EV s) Significantly contribute to sustainable development goals (SDGs) by mitigating emissions, enhancing air quality, fostering renewable energy use, generating green employment, and facilitating access to sustainable transportation. In electric vehicles (EV s), multiple components require communication protocols to enable synchronization of subsystems such as battery management and charging infrastructure and ensure optimal efficiency and interoperability. There is a wide adoption of Electric vehicles (EV s) worldwide to create a sustainable environment. Based upon the above aspects, this article presents a thorough literature review of the communication protocols for EV s, where the key technical components of the EV ecosystem are summarized in detail. Further, this study presented an overview of communication protocols for EV s, covering front- end and back-end protocols. The significance of protocols in EV charging is discussed, including aspects like interoperability, communication and data exchange, plug- and-charge capability, monitoring, and smart charging. The findings of the study conclude that this communication protocol is used to integrate electric vehicles (EVs) into transportation networks. Front-end and back-end protocols govern the communication between electric vehicles (EVs) and charging stations, as well as between the infrastructure and third-party operators. Protocols like ISO 15118, OCPP, IEC 61850, and others are used for different purposes. Protocols are based on their openness, compatibility, maturity, and market adoption to determine their adequacy for adoption in the EV business. The review's novelty comes from its comprehensive analysis of communication protocols for electric vehicles (EV s), which encompasses both detailed elements and performing outcomes.
Control of DSTATCOM Using ANN-BP Algorithm for the Grid Connected Wind Energy System Mohammad Mujahid Irfan, Sushama Malaji, Chandrashekhar Patsa, Shriram S. Rangarajan, and S. M. Suhail Hussain MDPI AG Green energy sources are implemented for the generation of power due to their substantial advantages. Wind generation is the best among renewable options for power generation. Generally, the wind system is directly connected with the power network for supplying power. In direct connection, there is an issue of managing power quality (PQ) concerns such as voltage sag, swells, flickers, harmonics, etc. In order to enhance the PQ in a power network with a wind energy conversion system (WECS), peripheral compensation is needed. In this paper, we highlight a novel control technique to improve the PQ in WECS by adopting an Artificial Neural Network (ANN)-based Distribution Static Compensator (DSTATCOM). In our proposed approach, an online learning-based ANN Back Propagation (BP) model is used to generate the gate pulses of the DSTATCOM, which mitigate the harmonics at the grid side. It is modelled using the MATLAB platform and the total harmonic distortion (THD) of the system is compared with and without DSTATCOM. The harmonics at the source side decreased to less than 5% and are within the IEEE limits. The results obtained reveal that the proposed online learning-based ANN-BP is superior in nature.