Development and Evaluation of an Experimental Platform for State-of-Charge Balancing Control of Lithium-Ion Battery Systems

Numerous battery management system (BMS) algorithms aimed at achieving state-of-charge (SOC) balancing have been proposed. This paper reports on the development and evaluation of an experimental platform for testing BMS algorithms. The platform we developed allows for simple parameter or physical quantity expression tweaks, making it easier to assess the performances of different various BMS algorithms. The hardware of the platform comprises a DSP chip (TMS320F28335), a custom-designed buck converter, various battery packs, and load resistors. By simulating circuit operations and analyzing battery output under load, an SOC versus open-circuit voltage graph is produced for estimation of the SOC. Employing cascaded PI controllers for the buck converter, the platform demonstrates its capability in power control and battery balance management through tests on a single battery system and on multiple battery systems. A BMS algorithm is selected for platform evaluation, affirming its effectiveness in maintaining SOC balancing among heterogeneous battery units.