21 citations · 21 across the 5 of their papers we have counts for
6 papers · 1 filter
Probe Sets for Nonlinear Kalman Filtering: Multi-Center Gains and Covariance Recalibration
Shida Jiang, Shengyu Tao, Scott Moura
Kalman filters (KFs) choose the gain as the product of the state-measurement cross-covariance and the inverse of the innovation covariance. In nonlinear systems, the predictive dis…
CAR-EnKF: A Covariance-Adaptive and Recalibrated Ensemble Kalman Filter Framework
Shida Jiang, Shengyu Tao, Zihe Liu +1
The ensemble Kalman filter (EnKF) is widely used for nonlinear and high-dimensional state estimation because it replaces explicit covariance propagation with ensemble statistics. H…
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…
Design Guidelines for Nonlinear Kalman Filters via Covariance Compensation
Shida Jiang, Jaewoong Lee, Shengyu Tao +1
Nonlinear extensions of the Kalman filter (KF), such as the extended Kalman filter (EKF) and the unscented Kalman filter (UKF), are indispensable for state estimation in complex dy…
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…
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…