Electrochemical Model-Based Fast Charging: Physical Constraint-Triggered PI Control

نویسندگان

چکیده

This paper proposes a new fast chargingstrategy for lithium-ion (Li-ion) batteries. The approach relies on an experimentally validated high-fidelity model describing battery electrochemical and thermal dynamics that determine the charging capability. Such high-dimensional nonlinear dynamic can be intractable to compute in real-time if it is fused with extended Kalman filter or unscented commonly used community of management. To significantly save computational efforts achieve rapid convergence, ensemble transform (ETKF) selected tailored estimate nonuniform Li-ion states. Then, health- safety-aware protocol proposed based successively applied proportional-integral (PI) control actions. controller regulates rates using online state information imposed constraints, which each PI action automatically comes into play when its corresponding constraint triggered. physical constraint-triggered strategy ETKF evaluated compared several prevalent alternatives. It shows derived close optimal solution terms time trajectory, as determined by predictive controller, but at drastically reduced cost.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Model Predictive Control-Based Fast Charging for Vehicular Batteries

Battery fast charging is one of the most significant and difficult techniques affecting the commercialization of electric vehicles (EVs). In this paper, we propose a fast charge framework based on model predictive control, with the aim of simultaneously reducing the charge duration, which represents the out-of-service time of vehicles, and the increase in temperature, which represents safety an...

متن کامل

Model Predictive Control for Electric Vehicle Charging

In this paper we present a model predictive control algorithm for scheduling electric vehicle charging. The model accounts for distribution network constraints and seeks to minimize the cost of procuring energy from the real-time market for electric vehicle charging. We present a case study for an IEEE test case distribution system.

متن کامل

Model Based Robust Control Law for Linear Event-triggered System

This paper proposes a framework to design an event-triggered based robust control law for linear uncertain system. The robust control law is realized through both static and dynamic event-triggering approach to reduce the computation and communication usages. Proposed control strategies ensure stability in the presence of bounded matched and unmatched system uncertainties. Derivation of event-t...

متن کامل

Model-based periodic event-triggered control for linear systems

Periodic event-triggered control (PETC) is a control strategy that combines ideas from conventional periodic sampled-data control and event-triggered control. By communicating periodically sampled sensor and controller data only when needed to guarantee stability or performance properties, PETC is capable of reducing the number of transmissions significantly, while still retaining a satisfactor...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IEEE Transactions on Energy Conversion

سال: 2021

ISSN: ['1558-0059', '0885-8969']

DOI: https://doi.org/10.1109/tec.2021.3065983