MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202641110482 A) filed by St. Josephs College Of Engineering; Nitish Naryan S; Naveenraj E; and Dr. M. Ramesh Babu on September 15, 2026, for Dynamic Battery Stress Index-Based Stress Responsive Charging Strategy For Enhancing Electric Vehicle Battery Longevity.
Inventors include St. Josephs College Of Engineering; Nitish Naryan S; Naveenraj E; and Dr. M. Ramesh Babu.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: ABSTRACT Dynamic Battery Stress Index-Based Stress Responsive Charging Strategy for Enhancing Electric Vehicle Battery Longevity Electric Vehicle (EV) batteries are highly susceptible to degradation caused by elevated temperature, high State of Charge (SOC), increasing internal resistance, and aging due to repeated charge–discharge cycles. Conventional charging strategies and Battery Stress Index (BSI)-based methods generally employ fixed parameter weighting, limiting their ability to adapt to dynamic battery operating conditions. To address this challenge, this project proposes a Dynamic Battery Stress Index (DBSI)-Based Stress- Responsive Charging Strategy for enhancing EV battery longevity and charging efficiency. The proposed framework continuously monitors critical battery parameters, including temperature, SOC, internal resistance, and cycle count using an ESP32-based sensing and control architecture. Each parameter is normalized and converted into an individual stress component. Unlike conventional fixed-weight approaches, dynamic weighting is employed, where the weight assigned to each parameter is proportional to its real-time stress contribution. This enables the system to automatically identify and prioritize the dominant degradation factor under varying operating conditions. The dynamically computed DBSI provides a comprehensive indication of the battery’s overall stress level. Based on the calculated DBSI, the system adaptively selects an appropriate charging mode, namely Fast Charging, Medium Charging, Slow Charging, or Protective Charging. Charging current regulation is achieved through PWM-based control, ensuring that battery stress is minimized while maintaining effective charging performance. The framework also incorporates sensor monitoring and fault-handling mechanisms to improve operational reliability and battery protection. The proposed system is implemented using a low-cost ESP32 platform and validated through simulation and prototype-based experimentation. Results demonstrate that the dynamic stress-weighting approach provides improved stress assessment compared to conventional fixed-weight methods, enabling more responsive charging decisions under changing battery conditions. By reducing stress accumulation and prioritizing critical degradation factors, the proposed strategy has the potential to enhance battery lifespan, improve charging safety, and reduce long-term maintenance requirements. The developed framework offers a practical and scalable solution for next-generation intelligent Battery Management Systems (BMS) in electric vehicles. .
Disclaimer: Curated by HT Syndication.
