The peak power of the battery (SOP) is an important parameter index for electric vehicle to improve the efficiency of battery utilization and ensure the safety of the system in the maximum limit. The estimation and prediction of SOP is based on a large number of test data at different temperature, different SOC and different time scales.
The applicability of the optimized JEVS test method in the study of the peak power test of lithium ion batteries is analyzed based on the experimental results of different test methods. 2. Test methods for peak power 2.1. HPPC test According to the Freedom CAR Battery Test Manual , 1C charge for 10s, reset 40s, 4C/3 discharge 10s.
To fill this gap, this paper aims to propose an adaptive peak power prediction method for power lithium-ion batteries considering temperature and aging is proposed.
Although there have been many studies on state estimation of lithium-ion batteries (LIBs), aging and temperature variation are seldom considered in peak power prediction during the whole life of the battery.
A battery can allow farms to get off-grid, e.g. in case of a temporary power outage (as back-up or UPS – Uninterruptable Power Supply). Through the use of batteries, farms can offer flexibility to the wider energy system (including through aggregators) for supporting the grid.
The peak power capability is determined by combining terminal voltage prediction, SoC estimation, temperature limits and manufacturing power/current limits. This paper is structured as follows: In Section 2, the theoretical analysis of a general SoP estimation combining a battery model, SoC estimation and the temperature effect is given.