蓄電池オンライン診断技術

摘要

We develop a method to estimate the full charge capacity (FCC) and the internal resistance of Lithium-ion batteries online, as well as the state-of-charge (SoC) within 1% accuracy. In our approach, a complementary filter fuses the Coulomb-counting and the open-circuit-voltage-based SoC estimation, whose errors are complementarily distributed in the frequency domain. The FCC and the internal resistance are estimated by adaptive niters from the estimated SoC. Our method enables online performance-diagnostics and condition-based maintenances of various battery systems.%近年市場が拡大しているHEVやEVにおいて， 蓄電池はその性能を左右する重要部品となってい る.特にエネルギー密度，出力密度，寿命の点に おいて優れた特性をもつリチウムイオン蓄電池は， 駆動用蓄電池として広く採用されている.