Design and Evaluation of Battery Management Systems for Electric Vehicle Applications With Harris Hawk Optimized Algorithm (HHOA) Based on Fuzzy Logic Controller

Autor: Shanmukha Naga Raju Vonteddu, Ravindra Kollu, Prasanthi Kumari Nunna
Rok vydání: 2023
Zdroj: Artificial Intelligence Applications in Battery Management Systems and Routing Problems in Electric Vehicles ISBN: 9781668466315
DOI: 10.4018/978-1-6684-6631-5.ch004
Popis: Utilizing electric vehicles (EVs) that don't pollute the atmosphere is one way to solve environmental pollution. This chapter as per the author proposes Harris Hawk optimized algorithm (HHOA) based on fuzzy logic controller with battery management system in electric vehicles. The suggested system is made to alter and regulate the current values of battery characteristics like battery voltage, current, power usage, and state of charge (SOC). To estimate the model temperature dependency, at various temperatures, the heat parameters can be found. Then, these temperature-dependent parameters are extracted for model decoupling. With offline data, the provided model is verified to attain good reliability over a wide range of temperatures and charge states. Extended Kalman filter (EKF) is used to monitor and control BMS operation.
Databáze: OpenAIRE