Advanced mathematical methods of SOC and SOH estimation for lithium-ion batteries

► Advanced SOC and SOH estimation of a lithium-ion battery by a Dual Kalman filter in combination with support vector machine. ► Feasibility proof and validation by measured drive cycle data. ► Estimation accuracy far better than the reported ones (SOC error < 0.5%). ► Real-time diagnosis by management system conceivable.