Multipulse HPPC for Current-Scheduled ECM Parameterization and SoC Estimation in EV Batteries

Accurate state-of-charge (SoC) estimation is central to safe and efficient Battery Management Systems (BMS) in electric vehicles. This study evaluates a multipulse Hybrid Pulse Power Characterization (HPPC) protocol using three discharge rates (0.5 C, 1 C, and 2.5 C) and two regenerative-charge rates (−0.5 C and −0.4 C). Three discharge-derived first-order RC parameter sets are scheduled within an extended Kalman filter according to instantaneous current magnitude and tested on a 54.6 V, 20.8 Ah NMC battery pack. A matched-input dynamic record is used to compare the single-pulse and multipulse HPPC-derived estimators. Because the reference SoC is nominal-capacity Coulomb counting using the same measured current, the reported SoC errors quantify agreement with that trajectory rather than independently measured ground-truth SoC. The multipulse parameterization reduced SoC RMSE from 2.1354% to 1.4065%, MAE from 1.7001% to 1.1138%, and MaxAE from 3.8951% to 3.6014%, while R2 increased from 0.98882 to 0.99515. For voltage estimation, RMSE decreased from 0.3145 V to 0.2409 V and MAE from 0.2379 V to 0.1532 V, but MaxAE increased from 1.7800 V to 2.1770 V. The results therefore show lower aggregate estimation error on the shared dynamic record without establishing independent absolute SoC accuracy or universal ECM fidelity.

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Publication Details

Journal
Batteries
Published
2026-11-04
DOI
https://doi.org/10.3390/batteries12110465
Primary Topic
Battery Modeling and Management
Type
article
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article

Multipulse HPPC for Current-Scheduled ECM Parameterization and SoC Estimation in EV Batteries

Bonginkosi Allen Thango, Sreedhar Madichetty, Yaminidhar Reddy Bhavanam, Abdelkader El Kamel
Batteries
Battery Modeling and Management
article

Multipulse HPPC for Current-Scheduled ECM Parameterization and SoC Estimation in EV Batteries

Bonginkosi Allen Thango, Sreedhar Madichetty, Yaminidhar Reddy Bhavanam, Abdelkader El Kamel
article en

Abstract

Accurate state-of-charge (SoC) estimation is central to safe and efficient Battery Management Systems (BMS) in electric vehicles. This study evaluates a multipulse Hybrid Pulse Power Characterization (HPPC) protocol using three discharge rates (0.5 C, 1 C, and 2.5 C) and two regenerative-charge rates (−0.5 C and −0.4 C). Three discharge-derived first-order RC parameter sets are scheduled within an extended Kalman filter according to instantaneous current magnitude and tested on a 54.6 V, 20.8 Ah NMC battery pack. A matched-input dynamic record is used to compare the single-pulse and multipulse HPPC-derived estimators. Because the reference SoC is nominal-capacity Coulomb counting using the same measured current, the reported SoC errors quantify agreement with that trajectory rather than independently measured ground-truth SoC. The multipulse parameterization reduced SoC RMSE from 2.1354% to 1.4065%, MAE from 1.7001% to 1.1138%, and MaxAE from 3.8951% to 3.6014%, while R2 increased from 0.98882 to 0.99515. For voltage estimation, RMSE decreased from 0.3145 V to 0.2409 V and MAE from 0.2379 V to 0.1532 V, but MaxAE increased from 1.7800 V to 2.1770 V. The results therefore show lower aggregate estimation error on the shared dynamic record without establishing independent absolute SoC accuracy or universal ECM fidelity.

BatteriesVol. 12(11)
Université de Lille (FR), University of Johannesburg (ZA), Mahindra University (IN), École Centrale de Lille (FR)
Openalex Percentile: Top 25%
Battery Modeling and Management
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