Proposal’s context
As the Electric Vehicle (EV) market continues to grow exponentially, managing the lifecycle of EV batteries has become an urgent priority. However, this rapid growth presents significant challenges in terms of battery longevity, recycling, and traceability. The Remaining Useful Life (RUL) of a battery is a critical factor in the total cost of ownership of an EV. Currently, the average RUL of an EV battery is estimated to be between 8 to 12 years, depending on usage patterns, charging cycles, and environmental conditions. However, studies have shown that poor driving behavior and inefficient charging schedules can reduce this lifespan by up to 20-30%. This results in premature battery failure, increasing costs for both consumers and manufacturers and exacerbating environmental concerns related to battery disposal. The recycling rate for EV batteries in Europe remains low, with only about 5% of lithium-ion batteries being recycled at the end of their life. This poses a significant challenge as EV battery production relies heavily on scarce resources like lithium, cobalt, and nickel. The recycling infrastructure in Europe is underdeveloped, with most end-of-life batteries either being exported for recycling or disposed of improperly. According to the European Environment Agency, the demand for battery raw materials is expected to increase by 20-25 times by 2030, underlining the urgent need for efficient recycling practices. The European Union’s Battery Directive mandates strict guidelines for the traceability of batteries across their lifecycle. However, current solutions do not provide sufficient traceability, particularly during the recycling and reuse stages. The European Union has recognized the need for transparent and tamper-proof tracking of battery data to comply with sustainability goals. The lack of secure traceability increases the risk of non-compliance, hinders recycling efficiency, and prevents the full recovery of valuable materials. The EU’s Green Deal and Circular Economy Action Plan place a heavy emphasis on the circular economy for batteries, pushing for the recovery and reuse of valuable materials. However, studies by the Global Battery Alliance indicate that only a small portion of EV batteries are reused in second-life applications, largely due to insufficient data on battery health and performance at the end of their first life. Without accurate lifecycle tracking and traceability, the potential for secondary use or recycling is severely limited.
Objectives and research hypothesis
Given the current state of battery longevity, low recycling rates, and insufficient traceability, it is clear that the existing Battery Passport systems fall short in addressing these critical challenges. Driver behavior and charging patterns significantly affect the RUL of batteries, but no current system fully integrates this data into lifecycle management. Moreover, privacy concerns related to the collection of personal driving data hinder the development of user-centric solutions. This project seeks to bridge these gaps by: (Obj1) Optimizing Battery RUL through AI-powered insights into driving behavior and charging schedules, potentially extending battery life by 15-20%, (Obj2) Improving Recycling Rates by integrating blockchain to securely track battery data, ensuring that all lifecycle stages, from production to recycling, are transparent and verifiable and (Obj3) Ensuring Privacy Compliance by using federated learning to analyze driver behavior without centralizing sensitive user data, thus maintaining GDPR compliance and increasing user participation in behavioral optimization.
The objectives of our project are based on several key research hypotheses that will guide our approach and enable us to validate the proposed models and tools: H1: The driver's behavior directly affects the health of the battery through factors such as charging frequency, depth of charge, charging station type, and driving style (acceleration patterns, speed consistency, and braking habits). H2: Integration of AI insights into driving behavior patterns (such as acceleration/braking intensity, speed consistency, and route selection) and charging schedules can extend the Remaining Useful Life (RUL) of EV batteries compared to traditional usage patterns. H3: Federated learning can foster higher user participation in behavioral analysis and optimization strategies without compromising user privacy, leading to improved battery management practices. The combination of these user insights with blockchain technology is expected to improve the transparency and traceability of battery data across their lifecycle, which will contribute to increasing recycling rates. H4: These technologies integrated will contribute to environmental sustainability by facilitating better recovery and reuse of critical battery materials.
Position of the project as it relates to the state of the art
The literature review presents several key solutions to improve EV battery management, recycling, and user engagement. Works underline the need for more integrated and user-friendly solutions to manage battery lifespan, recycling, and traceability. However, existing works do not fully account for the impact of user behavior on battery health, particularly regarding driving and charging habits, which are crucial for extending battery lifespan. Most of the ANR projects proposed are dealing with the composition and the evolution of materials in batteries. Moreover, current solutions lack robust traceability systems to ensure efficient material recovery during recycling. Additionally, while economic incentives for battery reuse are highlighted, there is insufficient integration of real-time data to drive user engagement. Lastly, existing battery management systems provide limited proactive feedback to users, which could otherwise improve battery longevity and encourage responsible recycling behavior. Given this context, the project proposes integrating optimization methods, AI, federated learning, and blockchain into the existing Battery Passport framework to overcome these limitations and enhance both user experience and battery lifecycle management.