Agnostic Battery Management System Capacity Estimation for Electric Vehicles

被引:7
|
作者
Calearo, Lisa [1 ,2 ]
Ziras, Charalampos [1 ]
Thingvad, Andreas [3 ]
Marinelli, Mattia [1 ]
机构
[1] Tech Univ Denmark DTU, Dept Wind & Energy Syst, Riso Campus, DK-2800 Roskilde, Denmark
[2] Ramboll Danmark AS, DK-2300 Copenhagen, Denmark
[3] Hybrid Greentech ApS, DK-4000 Roskilde, Denmark
关键词
battery capacity; electric vehicle; DC charger; on-board charger; BMS data; LITHIUM-ION BATTERIES; HEALTH ESTIMATION; STATE;
D O I
10.3390/en15249656
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Battery degradation is a main concern for electric vehicle (EV) users, and a reliable capacity estimation is of major importance. Every EV battery management system (BMS) provides a variety of information, including measured current and voltage, and estimated capacity of the battery. However, these estimations are not transparent and are manufacturer-specific, although measurement accuracy is unknown. This article uses extensive measurements from six diverse EVs to compare and assess capacity estimation with three different methods: (1) reading capacity estimation from the BMS through the central area network (CAN)-bus, (2) using an empirical capacity estimation (ECE) method with external current measurements, and (3) using the same method with measurements coming from the BMS. We show that the use of BMS current measurements provides consistent capacity estimation (a difference of approximately 1%) and can circumvent the need for costly experimental equipment and DC chargers. This data can simplify the ECE method only by using an on-board diagnostics port (OBDII) reader and an AC charger, as the car measures the current directly at the battery terminals.
引用
收藏
页数:17
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