Agnostic Battery Management System Capacity Estimation for Electric Vehicles

Lisa Calearo, Charalampos Ziras, Andreas Thingvad and Mattia Marinelli
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Lisa Calearo: Department of Wind and Energy Systems, Technical University of Denmark (DTU), Risø Campus, 2800 Roskilde, Denmark
Charalampos Ziras: Department of Wind and Energy Systems, Technical University of Denmark (DTU), Risø Campus, 2800 Roskilde, Denmark
Andreas Thingvad: Hybrid Greentech ApS, 4000 Roskilde, Denmark
Mattia Marinelli: Department of Wind and Energy Systems, Technical University of Denmark (DTU), Risø Campus, 2800 Roskilde, Denmark

Energies, 2022, vol. 15, issue 24, 1-17

Abstract: 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.

Keywords: battery capacity; electric vehicle; DC charger; on-board charger; BMS data (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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