Experimentally Validated Coulomb Counting Method for Battery State-of-Charge Estimation under Variable Current Profiles

Battery state of charge as an effective operational indicator is expected to play a crucial role in the advancement of electric vehicles, improving the battery capacity and energy utilization, avoiding battery overcharging and over-discharging, extending the battery’s useful lifespan, and extending the autonomy of electric vehicles. In context, this article presents a computationally efficient battery state-of-charge estimator based on the Coulomb counting technique with constant and variable discharging current profiles for an actual battery pack in real time. A dedicated experimental bench is developed for validation purposes, where pivotal measurements such as current, voltage, and temperature are initially measured during the charging/discharging cycle. The state of charge thus obtained via these measurements is then compared with the value estimated through the battery generic model. Detailed analysis with conclusive outcomes is finally presented to exhibit the flexible nature of the proposed method in terms of the precise state-of-charge estimation for a variety of batteries, ranging from lead–acid batteries for domestic applications to Li-ion batteries inside electric vehicles.

• state of charge estimation
• Coulomb counting
• electric vehicles
• lead-acid batteries
• lithium-ion batteries
• battery pack
• battery modeling
• real-time estimation

• 7 — Énergie propre et d’un coût abordable

• Advanced Battery Technologies Research
• Advancements in Battery Materials
• Electric and Hybrid Vehicle Technologies
• state of charge estimation
• Coulomb counting
• electric vehicles
• lead-acid batteries
• lithium-ion batteries
• battery pack
• battery modeling
• real-time estimation
• Automotive Engineering
• Electrical and Electronic Engineering
• Engineering