IN-202541032229-A - BIDIRECTIONAL ELECTRIC VEHICLE CHARGING SYSTEM FOR OPTIMIZED VEHICLE-TO-GRID (V2G) INTEGRATION

Abstract

[032] The present invention relates to a bidirectional electric vehicle (EV) charging system designed for vehicle-to-grid (V2G) integration, enabling both charging and discharging of the EV battery to and from the electrical grid. The system incorporates an intelligent energy management module powered by artificial intelligence (AI) and machine learning (ML) algorithms to optimize energy flow based on real-time grid conditions, energy demand, and user preferences. A bidirectional power converter facilitates efficient energy conversion, while blockchain technology ensures secure, transparent energy transactions. The system prioritizes renewable energy sources for charging, utilizes Internet of Things (IoT) communication protocols for seamless data exchange, and provides users with a convenient interface to monitor energy usage and manage charging schedules. This technology enhances grid stability, supports the integration of renewable energy, and offers financial incentives for EV owners participating in V2G exchanges. Accompanied Drawing [FIGS. 1-2]

Inventors

• DR SUJIT KUMAR
• DR ANUBHAV KUMAR PANDEY
• DR MANIKANTA G
• DR NANDINI K K
• DR MURALI MATCHA
• DR APOORVA SAHU

Dates

Publication Date

20250411

Application Date

20250401

Priority Date

20250401

Claims (10)

1. Claims:1. A bidirectional electric vehicle (EV) charging system for vehicle-to-grid (V2G) integration, comprising an energy management module configured to manage energy flow between an electric vehicle and the electrical grid, enabling both charging and discharging of the vehicle’s battery.
2. 2. The system of claim 1, wherein the energy management module uses artificial intelligence (AI) and machine learning (ML) algorithms to optimize charging and discharging schedules based on real-time grid conditions, energy demand, and user preferences.
3. 3. The system of claim 1, wherein the bidirectional power converter is configured to convert alternating current (AC) from the grid into direct current (DC) for charging the EV battery, and reverse the process when discharging the vehicle’s stored energy back to the grid.
4. 4. The system of claim 1, wherein the energy management module is further configured to prioritize renewable energy sources, such as solar panels and wind turbines, for charging the EV battery, ensuring that the vehicle’s stored energy comes from eco-friendly sources when available.
5. 5. The system of claim 1, wherein the blockchain-based transaction mechanism ensures secure, transparent, and tamper-proof energy exchanges between the EV, grid, and utility provider, with smart contracts automating the energy transaction process.
6. 6. The system of claim 1, wherein the energy management module integrates Internet of Things (IoT) communication protocols, such as MQTT, Zigbee, and Wi-Fi, to enable real-time data exchange between the electric vehicle, charging station, grid operator, and renewable energy sources.
7. 7. The system of claim 1, wherein the user interface provides real-time monitoring of energy usage, battery health, financial incentives, and the ability for the user to set charging preferences via mobile applications and web platforms.
8. 8. The system of claim 1, wherein the battery management algorithms within the energy management module monitor the health of the EV battery and adjust charging parameters to minimize wear and tear, extending the battery’s lifespan.
9. 9. The system of claim 1, wherein the system is designed to respond dynamically to changes in energy demand and supply, including grid imbalances or fluctuations in renewable energy generation, ensuring optimal energy distribution.
10. 10. The system of claim 1, wherein the system incentivizes participation in V2G energy exchanges by offering dynamic pricing models and financial incentives for EV owners who provide stored energy back to the grid during peak demand periods or when renewable energy generation is low.

Description

Complete SpecificationDescription:[001] The present invention pertains to the field of electric vehicle (EV) charging technology, specifically focusing on bidirectional charging systems that facilitate vehicle-to-grid (V2G) integration. It addresses the need for an intelligent and efficient energy exchange mechanism between EVs and the power grid. By enabling bidirectional power flow, the invention enhances grid stability, optimizes energy distribution, and supports the integration of renewable energy sources. Additionally, it leverages advanced technologies such as artificial intelligence (AI), machine learning (ML), blockchain security, and IoT-based communication to improve energy management, ensure secure transactions, and promote sustainable energy utilization.BACKGROUND OF THE INVENTION[002] The increasing adoption of electric vehicles (EVs) has led to a surge in demand for efficient charging solutions that can optimize energy usage while minimizing strain on the electrical grid. Traditional EV charging infrastructure primarily supports unidirectional charging, where energy flows only from the grid to the vehicle. However, with advancements in energy management and smart grid technologies, bidirectional charging systems have emerged as a viable solution to enable energy exchange between EVs and the grid, commonly referred to as Vehicle-to-Grid (V2G) integration. This innovation allows EVs to serve as mobile energy storage units, providing surplus electricity to the grid when needed and drawing power for charging during off-peak hours.[003] Despite the potential benefits of V2G technology, current implementations face several challenges, including inefficient energy distribution, lack of real-time demand response, and integration difficulties with existing grid infrastructure. Many conventional V2G systems lack the intelligence to predict energy demand patterns dynamically, leading to suboptimal energy flow and grid imbalances. Moreover, the absence of standardized protocols and communication mechanisms hinders seamless coordination between EVs, charging stations, and grid operators. Addressing these challenges requires a smart, adaptive, and secure bidirectional charging system that can optimize energy exchange while maintaining grid stability.[004] One of the key concerns in bidirectional charging is energy efficiency. The process of converting alternating current (AC) from the grid to direct current (DC) for EV batteries, and vice versa, often results in energy losses. Conventional power converters are not optimized for bidirectional operation, leading to inefficiencies and increased operational costs. Additionally, the inability to prioritize energy distribution based on real-time grid conditions and user preferences further limits the effectiveness of existing V2G systems. An advanced energy management system with intelligent power flow optimization can significantly enhance the efficiency and reliability of bidirectional charging. [005] Another critical aspect of V2G integration is security and transaction transparency. In a decentralized energy exchange ecosystem, ensuring the integrity and authenticity of energy transactions is paramount. Unauthorized access, cyber threats, and fraudulent transactions pose significant risks to the adoption of V2G technology. Existing systems often lack robust security measures, making them vulnerable to data breaches and energy theft. A blockchain-based transaction mechanism can provide a tamper-proof, decentralized ledger for secure energy exchanges, enabling trust between EV owners and grid operators while preventing unauthorized interventions.[006] Moreover, the integration of renewable energy sources with bidirectional EV charging presents both opportunities and challenges. As the world transitions toward sustainable energy solutions, leveraging EVs as distributed energy storage units can help stabilize fluctuations in renewable energy generation. However, managing energy flow between EVs, solar panels, wind turbines, and the grid requires sophisticated control algorithms that can dynamically adjust power distribution. Traditional grid infrastructures are not designed to handle such decentralized and intermittent energy inputs, necessitating the development of adaptive energy management solutions that can efficiently balance supply and demand.[007] Consumer participation and user incentives play a crucial role in the successful implementation of V2G technology. Many EV owners are hesitant to participate in bidirectional charging programs due to concerns about battery degradation, limited financial incentives, and complex user interfaces. Encouraging widespread adoption requires a user-friendly system that provides real-time insights into energy usage, battery health, and financial benefits. AI-driven energy management systems can offer personalized recommendations, optimizing charging schedules to minimize battery wear while maximizing cost savings. Additio