Solar Power Battery Research Articles

Sensor Fusion-Based Pulsed Controller for Low Power Solar-Charged Batteries with Experimental Tests: NiMH Battery as a Case Study

Solar energy is considered the major source of clean and ubiquitous renewable energy available on various scales in electric grids. In addition, solar energy is harnessed in various electronic devices to charge the batteries and power electronic equipment. Due to its ubiquitous nature, the corresponding market for solar-charged small-scale batteries is growing fast. The most important part to make the technology feasible is a portable battery charger and the associated controllers to automate battery charging. The charger should consider the case of charging to be convenient for the user and minimize battery degradation. However, the issue of slow charging and premature battery life loss plagues current industry standards or innovative battery technologies. In this paper, a new pulse charging technique is proposed that obviates battery deterioration and minimizes the overall charging loss. The solar-powered battery charger is prototyped and executed as a practical, versatile, and compact photovoltaic charge controller at cut rates. With the aid of sensor fusion, the charge controller is disconnected and reconnects the battery during battery overcharging and deep discharging conditions using sensors with relays. The laboratory model is tested using a less expensive PV panel, battery, and digital signal processor (DSP) controller. The charging behavior of the solar-powered PWM charge controller is studied compared with that of the constant voltage–constant current (CV–CC) method. The proposed method is pertinent for minimizing energy issues in impoverished places at a reasonable price.

Efficient energy management of domestic loads with electric vehicles by optimal scheduling of solar-powered battery energy storage system

The increasing adoption of electric vehicles (EVs) and variable energy usage patterns substantially strain the electrical grid; indeed, optimal energy management, monitoring, and utilization are required for the reliable operation of the grid. This paper introduces a novel model design of a solar-powered battery energy storage system (SPBESS) as a viable substitute for conventional demand-side management (DSM) and time of use (ToU) pricing schemes, intending to optimize energy management and utilization with IoT monitoring. In addition, the IoT-based prototype has been developed to monitor and control the proposed system. To validate the proposed SPBESS model, the study examines two distinct cases: one encompassing domestic loads and the other integrating EV loads alongside household demand. Using ToU pricing, it determines the optimal charging and discharging strategies for the SPBESS, evaluates their implications for the system configuration and grid ToU pricing, and quantifies the annual reductions in power purchases, electricity bills, energy costs, and carbon emissions. Moreover, the study comprehensively analyzes the optimal power exchanges between the photovoltaic system, battery energy storage system, and the grid, precisely considering the specific load requirements and grid ToU pricing. The conducted research findings manifest considerable decreases in energy costs, with the domestic load condition witnessing a reduction from $0.312 per kilowatt-hour to $0.245 per kilowatt-hour and the scenario involving EV and residential loads experiencing a decline from $0.27 per kilowatt-hour to $0.197 per kilowatt-hour. Furthermore, the annualized cost savings for cases 1 and 2 amount to $1,336 and $4,544, respectively, yielding substantial reductions in polluting gas emissions. Besides, the IoT-based constructed prototype model design for real-time power parameters monitoring and control shows the importance of IoT-based monitoring for remote load control, allowing users to maximize energy efficiency, resource utilization, and system visualization.

Investigating the Effectiveness of Maximum Power Point Tracking (MPPT) with Perturb and Observe (P&O) Algorithm in Solar Power Battery Charging System

Solar energy has emerged as one of the most promising and crucial renewable energy sources in our efforts to reduce reliance on fossil fuels and mitigate their adverse impact on the environment. One of the primary applications of solar energy is in the solar power battery charging system. This system harnesses solar energy emitted by the sun through solar panels to charge batteries used as energy storage. At the heart of the solar power battery charging system lies the technology of Maximum Power Point Tracking (MPPT). MPPT is a method used to achieve maximum efficiency from solar panels by adjusting their voltage and current to ensure they constantly operate at their maximum power point, irrespective of varying light conditions. In this article, the solar power battery charging system with the use of the MPPT method employing the Perturb and Observe (P&O) algorithm will be explored. The proposed of modeling the solar battery charging system with the implementation of a DC-DC buck converter and lead-acid battery incorporated with P&O algorithm will be elaborated through MATLAB/Simulink simulation software. Additionally, the performance analysis of the system will be investigated by considering the state of charge (SOC), power (W), current (A), and voltage (V) variables. The simulation results indicate the effectiveness of the proposed P&O algorithm in maintaining the panel’s operating maximum power in multi-stage charging system.

Implementation of battery storage system in a solar PV-based EV charging station

Commercial production of solar-powered battery charging stations for electric vehicles has recently started largely as a result of the growing popularity of electric vehicle (EV) technology as well as the falling cost of photovoltaic (PV) systems. The rise in popularity of EVs may be attributed to both the progression of technology and rising awareness of environmental issues. In this work, a 400V DC bus voltage-based EV charging station is designed which is powered by both a PV system and a utility grid. Also, battery energy storage units are used to overcome the unpredictable behavior of the environment. An Energy management algorithm (EMA) has been presented to balance the power flow among PV, EVs, BESS, grid, and residential load. A sharing coefficient-based power sharing is done between the grid and battery to reduce the stress from the battery units. Then, a multi-step constant current charging method is used to charge the EVs in the charging station to maintain the proper state of charge (SOC) of EV batteries. During this study, different operating conditions are considered according to available PV power and load to validate the power management scheme in the EV charging station. The model is run using MATLAB simulation and opal-RT simulation. The obtained results have been demonstrated with an explanation and system performance verification.

Powering In-Field Continuous Robotic Systems Using Solar Energy Systems

Highlights Because of variable weather conditions, battery capacity must be at least 2.5 times larger than daily energy demands for continuous off-grid power. At a minimum, the nominal solar panel array size must be large enough to provide the daily energy demand in 3 hours. Because of a trade-off relationship, minimal battery capacity or solar panel size requires more than the minimum for the other component. Limiting operation to March through October reduced required sizes. Adding a backup generator with minimal usage of 50 kg of propane per year also reduced sizes. Abstract. Continuous in-field robotic and automated systems are challenged by the need for a continuous supply of power. This off-grid power supply can be diesel, gasoline, propane, or alternative energy sources like solar or wind. This study investigates the required solar panel arrays and energy storage capacities for an off-grid solar-battery power supply system. This study used 22 years of historical weather data from Lexington, Kentucky, and processed it with the National Renewable Energy Laboratory’s System Advisor Model to model hourly energy output from solar panel arrays of 2 kW, 3 kW, 4 kW, 5 kW, 10 kW, 15 kW, and 20 kW. This was combined with an energy storage model (simulated battery capacities of 5 kWh, 10 kWh, 15 kWh, 20 kWh, 30 kWh, 40 kWh, 50 kWh, and 60 kWh) and an energy use model (simulated daily energy demands of 3.6 kWh, 6 kWh, 12 kWh, 18 kWh, and 24 kWh) to determine which systems could operate over the entire 22 years without reaching critical minimum levels. For a 3.6 kWh daily energy demand, 32 combinations of solar panel arrays and battery capacities remained above critical levels, while this was only 12 combinations for a 6 kWh daily energy demand and no combination could support larger energy demands. An example a feasible system to support a 6 kWh energy demand is one that uses a 15 kW panel array (42 standard panels with an approximate system hardware cost of $22,650) and 30 kWh of energy storage capacity (which with lead acid batteries would cost $11,661 and require a volume of 300 L). There is a tradeoff between solar panel array size and battery capacity so other feasible systems can be realized by increasing one to make up for reductions in the other variable. Additionally, limiting system operation to March through October can reduce the size of the required panel array (to between 33% to 67% of the original size) or energy storage capacity (to between 40% to 67% of the original capacity) for a given daily energy load. The size of the solar battery system could be further decreased by adding an emergency generator that uses no more than 50 kg of propane annually. Battery capacities could be reduced by 17% to 38% compared to the original system, and the solar panel arrays could be reduced by 13% to 15% compared to the original. Specific reduction amounts depended on the specific configuration of the original system and the daily load level that had to be supported. A system that only operated from March through October with a backup generator could also support the 12 and 18 kWh daily energy demands, which could not be supported by the original system. Even with limiting operation to March through October and using an emergency generator, the minimal battery capacity was at least 2.5 times larger than the daily energy demand, and the solar panel array had to be large enough that the nominal output would provide the daily energy demand in 3 hours of full sun. However, because of the trade-off relationship, these minimums cannot be attained together. While continuous in-field robotic deployments show promise for improving agriculture, it will be critical to design with energy efficiency in mind and the off-grid power supply for wide-spread use across agricultural lands. Keywords: Agriculture robot, Autonomous, Batteries, Computer modeling, Energy, Power, Simulation, Sizing, Solar, System.

Techno-economic analysis of solar powered battery bank in a residential apartment

The electrical load is ever-increasing in the residential grid, there is a necessity to increase power generation to meet the demand (or) the centralized battery energy storage system can provide part of the generation. This paper describes the implementation of a centralized Solar Powered Battery Bank (SPBB) in residential apartments, which consists of solar panels and battery banks. To identify energy-saving recommendations, an energy audit is conducted using Fluke. As a result of performing quasi-dynamic load flow analysis in DIgSILENT for a realtime system with 64 residences and 47 inverter batteries, the study concludes that the centralized SPBB model reduces traditional grid power supply during peak periods. The proposed model's optimal sizing is determined using the Modified Particle Swarm Optimization technique. By using the SPBB model, the voltage stability of the fourth floor is improved from 0.8351 p.u. to 0.9566 p.u. In these models, daily energy consumption is reduced by up to 18%, with a minimum daily energy savings of 250 kWh, and total cost savings of 1491 rupees. Finally, an economic study is conducted to determine the proposed model's payback period, and comparing it with previous work shows that the proposed model is advantageous.

Smart Solar Powered Battery System for EV for IoT Voltage Monitoring

Abstract: This paper presents a Smart Solar-Powered Battery System for Electric Vehicles (EVs) enhanced with Internet of Things (IoT) voltage monitoring, featuring a robust combination of components. Utilizing ESP32, Solar Panels, Breadboard, PCB, Voltage Sensor, Liquid Crystal Display, BJT, Battery, Jumper Wires, USB Cable, Arduino IDE, and BlynkIoT, this system embodies a sustainable and efficient EV charging infrastructure. The integration of solar panels within the system capitalizes on solar energy, diminishing the environmental impact of EV charging while reinforcing grid resilience. The high-capacity battery and IoT voltage sensors ensure continuous and reliable power supply to EVs, facilitated by remote monitoring through the BlynkIoT platform. This smart and grid-independent solution promises to redefine electric vehicle charging infrastructure, mitigating reliance on traditional power sources. In summary, the Smart Solar-Powered Battery System, comprising these pivotal components, demonstrates the potential to revolutionize EV charging, aligning with the global shift towards sustainable and ecofriendly transportation solutions.

Experimental assessment of precision temperature control electronic architecture for solar-powered TEC refrigerator

This study presents experimental research concerning an active thermoelectric cooling control architecture applied to portable, solar-powered medical refrigerators. A specialized Electronic Control Unit (ECU) has been devised for regulating thermoelectric cooling, enabling users to define operational thresholds for the thermoelectric coolers through the system's architecture. The TEC1-12706 thermoelectric cooling system was employed. The system is engineered to swiftly cool the medical refrigerator's storage cabinet by up to 6 °C within 30 minutes and maintain a critical temperature range of 2 °C to 8 °C, vital for safeguarding thermolabile vaccines and medications. The control unit design encompasses a closed-loop control approach utilizing an Arduino Nano, a Linear voltage regulator, and a solar-powered battery charging setup. The Arduino issues signals based on preset points through sensors, thereby regulating the refrigeration system's desired temperature, while a relay module serves as an ON-OFF controller for temperature management. Preliminary results affirm that, in conjunction with a heat sink and DC fan, the thermoelectric cooler successfully achieves the intended temperature range, demonstrating promising cooling capabilities.

Automated Hydroponic System with Solar Powered Battery Management System

Abstract: In hydroponic farming, plants are grown in nutrient-rich water rather than soil. By mounting sensors and actuators on the system, environmental events, including water temperature, relative humidity, light intensity, and pH, are automatically monitored and controlled. The Internet of Things (IoT), used to transport and retrieve data from the Internet (mass storage), is involved in maintenance and automatic monitoring. An application informs the user of the hydroponic system's current state online. The value of hydroponics lies in giving ordinary individuals a means to grow their food without soil. It is crucial to have the proper pH, environmental conditions such as temperature in hydroponics. In order to effectively use solar energy to power the system, solar panels are included. Rechargeable batteries are employed in our hydroponic system. Thus, a battery management system (BMS) is also incorporated. Thus, a controller that monitors these variables may greatly assist and guarantee improved success and efficiency rates. Various devices can link to one another and share real-time data.

Solar Powered Battery Charging System by Using Arduino: Experimental design

In recent years, the need for efficient and sustainable energy solutions has become increasingly important. One potential solution is the use of solar power for battery charging systems. In this project, an Arduino-based solar-powered battery charging system is designed and implemented. The system consists of a solar panel that collects energy from the sun, an Arduino microcontroller that regulates the battery's charging, and a battery that stores the energy for later use. The solar panel converts sunlight into DC electrical energy, which is then fed to the battery through a charging circuit. The implementation of this system is fairly straightforward. The solar panel is connected to an input pin of the Arduino microcontroller, which then controls the charging of the battery through a charging circuit connected to an output pin. The charging circuit is designed to limit the charging current and voltage to prevent damage to the battery.

A Framework of Reduced Sensor Rooftop SPV System Using Parabolic Curve Fitting MPPT Technology for Household Consumers

In this paper, a novel Parabolic Curve-fitting based Hill Climbing (PCHC) MPPT (Maximum Power Point Tracking) algorithm is developed to extract maximum power from solar photovoltaic (PV) panels under dynamic environmental conditions for household consumers. Moreover, this developed PCHC algorithm is integrated with a novel reduced sensor-based approach, where only a single current sensor is used to complete the solar-powered battery charging process. The ease of implementation with a simple controller and reduced sensor approach makes it economical for residential rooftop SPV. In the proposed PCHC methodology, two consecutive points on the Power-Voltage (P-V) characteristic of PV are used to detect the Maximum point region quickly. Moreover, the parabolic nature of the P-V characteristic near the Maximum Power Point (MPP) zone is explored to calculate the approx value of voltage corresponding to the optimum power. Here in every iteration, the size of the perturbation in duty is reduced by fifty percent. It overcomes the trade-off between tracking speed and oscillations near the MPP of conventional MPPT techniques such as perturb and observe, incremental conductance. These oscillations affect the connected consumers’ load working efficiency and lifetime. Moreover, it also improves the dynamic performance by taking different step sizes for sudden and slow changes in irradiation levels. The boost converter has been used to realize the performance of the proposed PCHC MPPT technique. The performance of the PCHC MPPT algorithm has been validated on different types of irradiation patterns and obtained results that fulfill the motive of the work.

Analyzing​ the performance of combined solar photovoltaic power system with phase change material

Under the influence of cosmic improvement, photovoltaic (PV) container power capability decreases. In this case study, several passive and active chilling exploratory studies are carried out on a PV container to determine their effects on the energetic and warm depiction of a PVT scheme. All experiments are carried out on a cosmic person who poses as an expert while working with a wide range (regular-condensed) of energy from the sun’s capability. The temperature of the PV container rises as heat is generated along its course, resulting in a lower power delivered. The heat produced during the operation can be eliminated by attaching phase change material (PCM) to the PV committee afterward, which can retain the PV heat for a long time to increase overall effectiveness. Fins may be secondhand inside the PCM canister to improve the heat transmission. In research, it is noticed that as directly as PCM is melted entirely, the heat ancestry rate of PCM reduces that repeated leads to development in PV hotness. An oily acid was preferred as the PCM with a development change hotness. For the time being the investigation, research inspected two various sporadic warm requirement approaches utilizing a water distribution loop in the PV/T-PCM arrangement to boost the overall solar energy exercise effectiveness, and particularized contrasting were accomplished. The results showed that using PCM in a solar-powered battery can essentially reduce the PV committee’s hotness vacillation and improve photoelectric efficacy. Using the warm regulation method’s low hotness backdrop, excess heat may be extracted from the PCM in the solar panel. It was decided that an acceptable thermal management policy might improve the overall energy exercise percentage of the PV/T-PCM plan; however, more effect on the commerce research of the system that regulates organization is still needed. The research is developed to analyze a combination of solar Photovoltaic power systems using the PCM performance is analyzed.

ИСПОЛЬЗОВАНИЕ СОЛНЕЧНЫХ БАТАРЕЙ ПРИ ЭНЕРГОСНАБЖЕНИИ СТРЕЛОЧНЫХ ЭЛЕКТРОПРИВОДОВ НА ПРИМЕРЕ ЖЕЛЕЗНЫХ ДОРОГ УЗБЕКИСТАНА

The article is devoted to the research of possibilities to apply solar batteries at power supply of devices of railway automatics and telemechanics in view of geographical position of Uzbekistan. The attention in the research is focused on the questions of energy-effective control of turnout electric drives from solar batteries on intermediate stations. On the example of “Sabir Rakhimov” station, the assessment of average-daily quantity of turnout switches has been made, the calculation of utilized quantity of electric energy for turnout electric drives has been pursued as well as the possibilities of this energy replenishment from solar batteries have been defined. The change in solar battery power in different countries on one and the same type stations has been analyzed. The advantages of alternative energetics for the needs of railway automatics and telemechanics have been described. The calculation of the efficiency of the devices of autonomous electric supply system for last 20 years has been pursued on the basis of statistical data on insolation of Tashkent and Moscow territories (for comparison). The technologies of the location of solar batteries on railway infrastructure objects have been presented. Special attention is paid on perspectives of wide industrial introduction of solar batteries for the energy supply of the devices of railway automatics and remote control.

SYSTEM OF FORECASTING THE SMART HOME SOLAR BATTERY POWER

Controlling household appliances in automatic mode according to the specified logic and the needs of the residents of a smart home allows efficient use of electricity and saves time and money. The paper proposes a system of forecasting the smart home solar battery power based on the analysis of weather data. The cloudiness degree values obtained using the OpenWeatherMap online service for a given area and time are used. Forecasting is carried out by methods of correlation analysis. The Pearson coefficient and parameters of the regression line were determined using the experimentally measured power of the Buheshui JZ-110X69 photovoltaic module under different weather conditions. The close to one value of Pearson coefficient modulus indicates a close relationship and high correlation between cloudiness and solar panel power. Correction coefficients were introduced to eliminate the influence of the angle between sun rays and the normal to the panel surface on the photovoltaic module power. The correction coefficients were determined on a cloudless day on March 20, 2022, in Lviv for each hour as the ratio of the solar module power at the measurement time to the measured at 1 pm power. It was established that adjusting the photovoltaic module power value according to the time of day increases the degree of linear correlation and the angle of inclination of the regression line. The weather forecast and obtained linear regression equation were used to estimate the future power of the solar battery. The use of correction coefficients according to the time of day increases the accuracy of the smart home solar battery power forecast. The obtained results can be used to form recommended scenarios for the rational use of energy resources. Choosing the optimal scenarios for using household devices in accordance with the forecasted solar battery power makes it possible to balance the comfort necessary level and frugal energy management of a smart home. Key words : smart home, energy management, energy efficiency, correlation, regression line, forecasting.

(Nickel) Substrate Nano-ZnO Dye-sensitized Solar Cell Preparation and Performance Research

With the rapid growth and development of the world and global economy, human material and living standards continue to improve and improve, people’s demand for renewable energy has become more and more, and many traditional energy sources, such as oil, natural gas, coal, etc., due to their limited storage capacity, serious environmental pollution during mining, and many other reasons, no longer fully meet the human demand for sustainable use of renewable energy in our era. Therefore, the development of a clean industrial energy is gradually becoming an important solution for contemporary Chinese enterprises to solve the problem of clean industrial energy utilization. Solar cells are an inexhaustible clean and green energy. It has great research and development and application value. It has attracted extensive research attention from social scientists. Among them, solar energy dye-sensitized battery solar plastic cells mainly have The dye process is simple, the cost of the preparation process is low, the conversion efficiency is high, and the large-scale production can be achieved throughout the year. Therefore, it has gradually become a hot spot in my country’s solar power battery technology research in recent years. This article aims to study the preparation and performance of (nickel) substrate nano-ZnO dye-sensitized solar cells. The optimal conditions for the synthesis of ZnO and the influence of different reaction conditions on the growth of ZnO were explored, and the growth mechanism of ZnO was speculated. The photoelectric synthesis catalytic conditions of the microspheres agglomerated between different sizes of ZnO are explored, and the direct influence of the small dye-sensitized micro-solar synthesis cells currently used in the synthesis on the synthesis of small dye-sensitized micro-solar cells is directly affected. Laboratory research results show that in order to use more reactive dyes for dye adsorption in order to improve the efficiency of the conversion using dye sensitizers and solar fuel cells, the dye film needs to pass through ZnO and be adsorbed by the dye at the same time. The morphological structure should not be too dense and the film should not be too thick; at the same time, the absorption of the dye film should be proportional to the overall coating thickness of the film. Therefore, the overall thickness of the film should be moderate when used in ZnO.

An interleaved DC charging solar system for electric vehicle

<span lang="EN-US">This paper investigates the performance of conventional boost converter, <br /> 2-phase interleaved boost converter and 3-phase interleaved boost converter for renewable energy applications especially for solar-powered energy. The advantages of using coupled inductors in interleaved boost converters include increased system efficiency, reduced core size, and also reduced overall current and voltage ripples which increases the lifetime of renewable energy resources. In this paper, the uses of boost converters have been focused explicitly on the interleaved DC-DC charging from a solar-powered battery into electric vehicle (EV) battery storage. Hence, this paper aims to investigate a suitable charging process mechanism from a photovoltaic (PV) battery storage system into EV powered battery system. Using the application of a boost converter with reduced ripple current and ripple voltage decreases switching losses and increases conversion efficiency. The simulation is carried out by using Simulink/MATLAB to evaluate the performance of each boost converter. The results successfully demonstrate the ability of the proposed charging system with an energy efficiency of 90%.</span>

Evaluation of Solar-Powered Battery Systems for Individuals Using Electricity-Dependent Medical Devices in Puerto Rico Following Hurricane Maria.

To determine if solar-powered battery systems could be successfully used for electricity-dependent medical devices by families during a power outage. We assessed the use of and satisfaction with solar-powered battery systems distributed to 15 families following Hurricane Maria in rural Puerto Rico. Interviews were conducted in July 2018, 3 mo following distribution of the systems. The solar-powered battery systems powered refrigeration for medications and prescribed diets, asthma therapy, inflatable mattresses to prevent bedsores, and continuous positive airway pressure machines for sleep apnea. Despite some system problems, such as inadequate power, defective cables, and blown fuses, families successfully dealt with these issues with some outside help. Almost all families were pleased with the systems and a majority would recommend solar-powered battery systems to a neighbor. Families accepted and successfully used solar-powered battery systems to power medical devices. Solar-powered battery systems should be considered as alternatives to generators for power outages after hurricanes and other disasters. Additional research and analysis are needed to inform policy on increasing access to such systems.

Water Treatment Plant Operating by Using SCADA

The Water Treatment Plant is responsible for the operation, repair , and maintenance of the City’ s water supply system. This includes all parts of the water system supply chain from: The raw water diversion and pumping facilities to the raw water pipelines • The treatment facilities • The finished water pumping facilities • The finished water storage facilities Testing of SCADA and Automation system for entire Headwork to WTP and Sump & ESR in this WTP premises with Flow meters, Solar power battery , Power & Signal cable, PRV etc completed as per specification.

Solar Powered Battery Charging System Using Optimized PI Controller for Buck Boost converter

The basic framework for tuning Genetic Algorithm (GA) is to bring the system to stable condition with proportional Integral controller for DC-DC converter (Buck -Boost Converter) which is applied to PV source. Due to its non-linear characteristics, the performance of the controller needs to be improved in order to improve its efficiency. The gating pulses of the converter uses Pulse Width Modulation (PWM) technique in order to reduce its THD level. The main purpose of PI controller is to bring down the large values of instabilities in the system response and to reduce steady state error which in turns improves the gain and accuracy. Genetic Algorithm (GA) is a search algorithm to solve optimization problems. The controller parameters are optimized to produce reasonable transient response without affecting the stable operation. Output voltage magnitude of DC–DC converter is either greater than or lesser than the input voltage magnitude. Variable DC voltage from PV panel is applied to DC – DC converter to get constant DC output voltage. The modelling of the Proposed system is modelled using MATLAB/SIMULINK and its results are verified.

Solar powered battery charging scheme for light electric vehicles (LEVs)

Abstract This work is targeted to design an economical and self-reliant solar-powered battery charging scheme for light electric vehicles (LEV’s). The single-ended primary inductance converter (SEPIC) is utilized to enhance the performance of solar power and battery charging at various solar irradiances. Various unique attributes of a SEPIC converter offer the effective charging arrangement for a self-reliant off-board charging system. Further, the continuous conduction mode (CCM) function of the converter minimizes the elementary stress and keeps to maintain the minimum ripples in solar output parameters. A novel maximum power point tracking (MPPT) approach executed in the designed system requires only the battery current to track the maximum power point (MPP) at various weather situations. Both the simulated and real-time behaviors of the developed scheme are examined utilizing a battery pack of 24 V and 100 Ah ratings. These responses verify the appropriateness of the designed system for an efficient off-board charging system for LEV’s.