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Model-Agnostic Energy Throughput Control for Range and Lifetime Extension of Electric Vehicles via Cell-Level Inverters
Shida Jiang, Shengyu Tao, Vincent Molina +2
A conventional electric vehicle (EV) powertrain relies on a centralized high-voltage DC-AC inverter, thereby limiting cell-level control and potentially reducing overall driving ra…
An Adaptive Estimation Approach based on Fisher Information to Overcome the Challenges of LFP Battery SOC Estimation
Junzhe Shi, Shida Jiang, Shengyu Tao +3
Robust and Real-time State of Charge (SOC) estimation is essential for Lithium Iron Phosphate (LFP) batteries, which are widely used in electric vehicles (EVs) and energy storage s…
Relax, Estimate, and Track: a Simple Battery State-of-charge and State-of-health Estimation Method
Shida Jiang, Junzhe Shi, Scott Moura
Battery management is a critical component of ubiquitous battery-powered energy systems, in which battery state-of-charge (SOC) and state-of-health (SOH) estimations are of crucial…
Mitigating Overconfidence in Nonlinear Kalman Filters via Covariance Recalibration
Shida Jiang, Junzhe Shi, Scott Moura
The Kalman filter (KF) is an optimal linear state estimator for linear systems, and numerous extensions, including the extended Kalman filter (EKF), unscented Kalman filter (UKF),…
Online energy management system for a fuel cell/battery hybrid system with multiple fuel cell stacks
Junzhe Shi, Ulf Jakob Flø Aarsnes, Shengyu Tao +3
Fuel cell (FC)/battery hybrid systems have attracted substantial attention for achieving zero-emissions buses, trucks, ships, and planes. An online energy management system (EMS) i…