Electrical and Electronic Engineering - Research Publications

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Author: Manzie, Christopher × Author: Nesic, Dragan × End date: 2019 × Start date: 2018 × Type: Journal Article ×

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    Model Predictive Control for Lithium-Ion Battery Optimal Charging
    Zou, C ; Manzie, C ; Nesic, D (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2018-04)
    Charging time and lifetime are important performances for lithium-ion (Li-ion) batteries, but are often competing objectives for charging operations. Model-based charging controls are challenging due to the complicated battery system structure that is composed of nonlinear partial differential equations and exhibits multiple time-scales. This paper proposes a new methodology for battery charging control enabling an optimal tradeoff between the charging time and battery state-of-health (SOH). Using recently developed model reduction approaches, a physics-based low-order battery model is first proposed and used to formulate a model-based charging strategy. The optimal fast charging problem is formulated in the framework of tracking model predictive control (MPC). This directly considers the tracking performance for provided state-of-charge and SOH references, and explicitly addresses constraints imposed on input current and battery internal state. The capability of this proposed charging strategy is demonstrated via simulations to be effective in tracking the desirable SOH trajectories. By comparing with the constant-current constant-voltage charging protocol, the MPC-based charging appears promising in terms of both the charging time and SOH. In addition, this obtained charging strategy is practical for real-time implementation.
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    Singularly Perturbed Algorithms for Velocity Consensus and Shape Control of Single Integrator Multi-Agent Systems
    Deghat, M ; Sun, Z ; Nešić, D ; Manzie, C (IFAC Secretariat, 2018-01-01)
    This paper studies a distributed multi-agent control problem in which the agents have single-integrator dynamics. A distributed control law is proposed to drive the agents to attain a desired formation shape and acquire an identical velocity. Using singular perturbation theory and stability results for nonlinear cascade systems, it is shown that agents can achieve the desired formation shape and velocity at different time scales. Moreover, it is shown that there exists an upper bound for a time-scale parameter (perturbation parameter) in the control law such that for time-scale parameters less than this bound, the initial conditions of the shape control error system will remain in a stability basin of the equilibrium. Simulation results are provided to validate the proposed algorithm.