Algorithms for On-board Battery Management System in Electric Vehicle for State of Charge Estimation and Dynamic Voltage Simulation of Lithium-ion Batteries (LIB): Considering Cell Aging Kamyar Makinejad, Amin Sakka, Andreas Jossen*, Wen Changyun** TUM CREATE, Singapore,
[email protected] * Technische Universität München (TUM), Institute for Electrical Energy Storage Systems (EES), Munich, Germany
[email protected] ** Nanyang Technological University (NTU), school of electrical & electronic engineering, Singapore,
[email protected] 1. Introduction
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Battery management system (BMS) is an on-board integrated part for an electric vehicle (EV) and must perform certain tasks in real time to provide high storage RPT test at 25˚C utilization, long lifetime and safe operation. Biggest challenge in BMS, is accurate battery state estimation. This work focuses on algorithms with functions of Cycling at 15/25/40/50/60/˚C for 100 cycles estimating these states such as state of charge (SOC), state of health (SOH) and additionally, functions to calculate cell/pack voltage and to estimate required 1c charge/ RPT test at 25˚C resistances and capacitances for further processes. Aside from the slight discharge differences in manufacturing process of the commercial cells, some cells within Cell capacity
