SOC-Llama: Estimation of SOC Using Llama Architecture
Aditi Garg, Arsh Sharan, Aryan Garg, Krishna Dutt, Anshul Arora · 2024
Electric Vehicles are replacing the conventional combustion engines vehicles due to a number of advantages like less emissions, use of cleaner fuel etc at a high pace. They work on batteries which are basically operated on the principle of charging or discharging of cells. Therefore, SOC or state of the charge plays a vital role in monitoring and managing the informed decisions pertaining to recharging, optimizing battery life, and ensuring a smooth driving experience. SOC in other words helps in reflecting battery performance. SOC (State of Charge) is different from SOH (State of Health) as SOH assesses long-term battery health, while SOC indicates current charge levels. In this research paper, we aim to study the impact of various parameters like throttle, longitudinal acceleration, elevation, motor torque, regenerative braking, battery current, battery voltage, ambient temperature on SOC and develop a deep learning model using the LLama architecture.