Manohar B S

@jssateb.ac.in

Assistant Professor and Dept of ECE
JSS Academy of Technical Education, Bengaluru



                 

https://researchid.co/manohar

RESEARCH, TEACHING, or OTHER INTERESTS

Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering

FUTURE PROJECTS

Autonomous E Kart

The concept of autonomous e-karts combines electric propulsion and autonomous driving technologies to create a new paradigm in go-kart-like vehicles. This abstract explores the key aspects and potential applications of autonomous e-karts. Autonomous e-karts offer a controlled and safe environment for testing and refining autonomous driving technologies. They serve as a testbed for developing and validating navigation algorithms, obstacle avoidance systems, and other related technologies. The knowledge gained from autonomous e-kart testing can be applied to more complex autonomous vehicles in various domains. In addition to testing, autonomous e-karts provide recreational and entertainment experiences. They can be utilized in recreational facilities, amusement parks, or dedicated karting tracks, providing an exciting and immersive experience for customers. Users can ride in an autonomous vehicle, experiencing the thrill of high-speed driving without the need for driving skills or lice


Applications Invited
5

Scopus Publications

6

Scholar Citations

2

Scholar h-index

Scopus Publications

  • Digital Twin Technology: A Perspective for Efficient Battery Management in Lithium-Ion Batteries
    B. S. Manohar, H. S. Kavitha, K. S. Chethan, K. Sathish Shet, S. Uma, L. Raghavendra, C. Durga Prasad, Abhijit Bhowmik, and Balewgize A. Zeru
    Wiley
    Li‐ion batteries are a critical energy source for both fixed and mobile systems and represent an important component in future carbon‐footprint mitigation strategies. However, energy system architecture and operating environments significantly influence battery lifetime, making effective battery management a challenging task. Despite recent advances in diagnostic tools and modelling software, there remains a growing opportunity to integrate battery‐related data and transmit it to cloud platforms through Internet of Things (IoT) applications. To develop a digital twin (DT) representation of battery packs, this paper proposes a cloud‐based battery management system, where diagnostic algorithms analyze operational data to estimate battery charge status, lifecycle behavior, and overall condition. An enhanced coulomb counting–based state‐of‐charge estimation method is introduced and demonstrated to operate effectively for Li‐ion batteries, achieving a satisfactory reduction in estimation error. In parallel, large‐scale data available on cloud platforms may be leveraged for system prediction and optimization using machine‐learning techniques, offering new perspectives on battery lifetime assessment. By integrating these emerging approaches, a smart and interconnected battery management framework can be realized. The proposed system identifies key functions required for routine battery operation and management, enabling batteries to operate reliably beyond their nominal economic lifetime.

  • Microcontroller Implementation of the Maximum Power Point Tracking Technique for PV Systems
    Kavitha H S, Manohar B S, Spandana S, and Shilpa Patil
    IEEE
    A boost converter and the MPPT control mechanism will be used to monitor photovoltaic power. Photovoltaic module is initially tested using SIMULINK software. To achieve the project's principal purpose, the boost converter will be employed in conjunction with a Control mechanism for Full Power Point Monitoring. The MPPT is responsible for getting the maximum available power from the PV device and delivering it to the load via the boost converter, which boosts the voltage to the proper level. The main goal would be to track the solar module's maximum power point in order to extract the maximum electricity from it. The MPPT algorithms are generalized algorithms that are simple to model. The algorithms should be written in MATLAB m files and utilized in simulations. Both the solar cell and the boost converter can be modeled using Sim Power Systems blocks.

  • Multifactor Authentication for Smart Grid Cyber Security
    Spandana Shashikumar and B. S. Manohar
    Springer Singapore

  • An intellectual procurement innovation of smart grid power system with wireless communication networks based on machine learning
    M. Sathya, K. Gunalan, S. ManoharB, T. Kumar, Shaik Shafi and G. Johncy

    The phased array antenna is one of the most significant applications in fifth-generation mobile networks. It is one of the most important applications in fifth-generation networks. An electric power source that powers the whole application, including the antenna's root, is required. Even with the most outstanding design, if the programme does not have a sound power supply system with minimal packet loss and can't Path find performance, it will be rendered ineffective. When seen from the perspective of the multiplex information, Machine Learning comprises a communication network based on the Internet that transmits information to the control centre via the objects (IOT). To put it another way, the proposed communication infrastructure, via the provision of, and the chance micro-grid state to collect, analyze, and two-way communication link control information, offers the chance to resolve the voltage regulation issues. This cutting-edge communication infrastructure, as well as a suggested state estimation filter focused on improving speed and performance in renewable energy production, are both examples of creative communication infrastructure. Current research is focused on analyzing and enumerating a range of energy abundances in the context of smart grids, which are now in their fifth generation. Rather than concentrating on the future development plan, which should be a problem of illusion, it should concentrate on the composition of the future potential of smart grid communications framework. An in-depth investigation to give evidence to the Machine learning will help intelligent networks in the future conduct a thorough evaluation.

  • Anfis based hybrid solar and wave generator for distribution generation to grid connection
    Manohar B S and Banakara Basavaraja
    Institute of Advanced Engineering and Science
    With a long coastal border of about 7500 Kms, India would need an efficient option of hybrid power generation in the coastal region. Abundant availability of wave power and sunlight due to its closeness to equator makes it clear base for power generation from wave generator and the solar power. This paper develops the implementation, which combines both the wave generator and the PV array for a hybrid power delivery controlled using Adaptive Neuro Fuzzy Inference Engine (ANFIS) controller. The super capacitor is used for higher efficiency compared to batteries. It absorbs power and delivers power fast, where it is more important in wave generation as the power and voltage is not stable. The power delivery improvement in this hybrid system while different controllers like the PI and the ANFIS controller is analysed. There is a higher power delivery improvement when ANFIS controller is chosen.

RECENT SCHOLAR PUBLICATIONS

  • Digital Twin Technology: A Perspective for Efficient Battery Management in Lithium‐Ion Batteries
    BS Manohar, HS Kavitha, KS Chethan, K Sathish Shet, S Uma, ...
    Journal of Engineering 2026 (1), 6422842 , 2026
    2026.0
  • Intelligent control for distributed smart grid: comprehensive system integrating wave, fuel cell, and photovoltaic power generation
    BS Manohar, B Banakara
    International Journal of Electrical and Computer Engineering (IJECE) 15 (6 … , 2025
    2025.0
  • Analysis of Distribution Transformer Physiological and Electrical Fault Detection-A Smart Grid Application.
    M BS, S Shashikumar, S Bati, SG CR, V SP
    Journal of Advanced Zoology 44 , 2023
    2023.0
  • Smart Battery Management System for Electric Vehicles.
    GA Jain, CV Bhat, M BS, S Shashikumar, S PM
    Journal of Advanced Zoology 44 , 2023
    2023.0
  • Microcontroller Implementation of the Maximum Power Point Tracking Technique for PV Systems
    HS Kavitha, BS Manohar, S Spandana
    2022 International Conference on Applied Artificial Intelligence and … , 2022
    2022.0
  • An intellectual procurement innovation of smart grid power system with wireless communication networks based on machine learning
    M Sathya, K Gunalan, TCH Anil Kumar, S Shafi, G Johncy
    International Journal of Nonlinear Analysis and Applications 12 (2), 1567-1576 , 2021
    2021.0
    Citations: 2
  • Multifactor Authentication for Smart Grid Cyber Security
    S Shashikumar, BS Manohar
    Computer Communication, Networking and IoT: Proceedings of ICICC 2020, 537-547 , 2021
    2021.0
    Citations: 1
  • Implementation of simple pwm/ppm generator for microcontroller using Verilog
    A Shankar, A Lokeshwari, B Manohar, S Pranavi
    Int. J. Adv. Res. Eng. Technol.(IJARET) 12, 97-102 , 2021
    2021.0
    Citations: 2
  • ANFIS based hybrid solar and wave generator for distribution generation to grid connection
    BS Manohar, B Basavaraja
    Int J Pow Elec & Dri Syst 10 (1), 479-485 , 2019
    2019.0
    Citations: 1
  • HYBRID WAVE POWER GENERATOR, FUEL-CELL POWER, AND PHOTOVOLTAIC POWER GENERATION SYSTEM WITH INTELLIGENT CONTROL STRATEGY DISTRIBUTED POWER SMART GRID
    BS Manohar, B Basavaraja
  • COMPARING PACKET PROCESSING SPEED USING DPDK
    GS Gunasagari, S Shashikumar, BS Manohar, PS Anisha, KM Vinay

MOST CITED SCHOLAR PUBLICATIONS

  • An intellectual procurement innovation of smart grid power system with wireless communication networks based on machine learning
    M Sathya, K Gunalan, TCH Anil Kumar, S Shafi, G Johncy
    International Journal of Nonlinear Analysis and Applications 12 (2), 1567-1576 , 2021
    2021.0
    Citations: 2
  • Implementation of simple pwm/ppm generator for microcontroller using Verilog
    A Shankar, A Lokeshwari, B Manohar, S Pranavi
    Int. J. Adv. Res. Eng. Technol.(IJARET) 12, 97-102 , 2021
    2021.0
    Citations: 2
  • Multifactor Authentication for Smart Grid Cyber Security
    S Shashikumar, BS Manohar
    Computer Communication, Networking and IoT: Proceedings of ICICC 2020, 537-547 , 2021
    2021.0
    Citations: 1
  • ANFIS based hybrid solar and wave generator for distribution generation to grid connection
    BS Manohar, B Basavaraja
    Int J Pow Elec & Dri Syst 10 (1), 479-485 , 2019
    2019.0
    Citations: 1
  • Digital Twin Technology: A Perspective for Efficient Battery Management in Lithium‐Ion Batteries
    BS Manohar, HS Kavitha, KS Chethan, K Sathish Shet, S Uma, ...
    Journal of Engineering 2026 (1), 6422842 , 2026
    2026.0
  • Intelligent control for distributed smart grid: comprehensive system integrating wave, fuel cell, and photovoltaic power generation
    BS Manohar, B Banakara
    International Journal of Electrical and Computer Engineering (IJECE) 15 (6 … , 2025
    2025.0
  • Analysis of Distribution Transformer Physiological and Electrical Fault Detection-A Smart Grid Application.
    M BS, S Shashikumar, S Bati, SG CR, V SP
    Journal of Advanced Zoology 44 , 2023
    2023.0
  • Smart Battery Management System for Electric Vehicles.
    GA Jain, CV Bhat, M BS, S Shashikumar, S PM
    Journal of Advanced Zoology 44 , 2023
    2023.0
  • Microcontroller Implementation of the Maximum Power Point Tracking Technique for PV Systems
    HS Kavitha, BS Manohar, S Spandana
    2022 International Conference on Applied Artificial Intelligence and … , 2022
    2022.0
  • HYBRID WAVE POWER GENERATOR, FUEL-CELL POWER, AND PHOTOVOLTAIC POWER GENERATION SYSTEM WITH INTELLIGENT CONTROL STRATEGY DISTRIBUTED POWER SMART GRID
    BS Manohar, B Basavaraja
  • COMPARING PACKET PROCESSING SPEED USING DPDK
    GS Gunasagari, S Shashikumar, BS Manohar, PS Anisha, KM Vinay