PATH

PEV Fast-Charging Station Siting and Sizing on Coupled Transportation and Power Networks

Zhang, Hongcai
Moura, Scott J.
Hu, Zechun
Song, Yonghua
2018

Plug-in electric vehicle (PEV) charging stations couple future transportation systems and power systems. That is, PEV driving and charging behavior will influence the two networks simultaneously. This paper studies optimal planning of PEV fast-charging stations considering the interactions between the transportation and electrical networks. The geographical targeted planning area is a highway transportation network powered by a high voltage distribution network. First, we propose the capacitated-flow refueling location model (CFRLM) to explicitly capture PEV charging demands on the...

(Invited) Open Software for Electrochemical Battery Modeling, Estimation, and Control

Moura, Scott
Perez, Hector
Gima, Zach
Park, Saehong
Zhang, Dong
2018

Batteries are ubiquitous. However, today’s batteries are expensive, range-limited, power-restricted, die too quickly, charge too slowly, and susceptible to safety issues. For this reason, model-based battery management systems (BMS) are of extreme interest. In this talk, we discuss eCAL’s open code for electrochemical-thermal battery models. Specifically, we also discuss applications of this code for (i) parameter identification, and (ii) optimal charging control. Finally, we close with exciting new perspectives for next-generation battery systems.

Joint PEV Charging Network and Distributed PV Generation Planning Based on Accelerated Generalized Benders Decomposition

Zhang, Hongcai
Moura, Scott J.
Hu, Zechun
Qi, Wei
Song, Yonghua
2018

Integration of plug-in electric vehicles (PEVs) with distributed renewable power sources will reduce PEVs' well-to-wheels greenhouse gas emissions, promote renewable power adoption, and defer power system investments. This paper proposes a multidisciplinary approach to jointly plan PEV charging stations and distributed photovoltaic (PV) power plants on a coupled transportation and power network. We formulate a two-stage stochastic programming model to determine the sites and sizes of: 1) PEV charging stations and 2) PV power plants. This proposed method incorporates comprehensive models of...

Efficient Thermal Management of Li-ion Batteries with a Passive Interfacial Thermal Regulator Based on a Shape Memory Alloy

Hao, Menglong
Li, Jian
Park, Saehong
Moura, Scott
Dames, Chris
2018

The poor performance of lithium-ion batteries in extreme temperatures is hindering their wider adoption in the energy sector. A fundamental challenge in battery thermal management systems (BTMSs) is that hot and cold environments pose opposite requirements: thermal transmission at high temperature for battery cooling, and thermal isolation at low temperature to retain the batteries’ internally generated heat, leading to an inevitable compromise of either hot or cold performances. Here, we demonstrate a thermal regulator that adjusts its thermal conductance as a function of the temperature...

Robust Fault Diagnosis of Uncertain One-dimensional Wave Equations

Dey, Satadru
Moura, Scott J.
2018

Unlike its Ordinary Differential Equation (ODE) counterpart, fault diagnosis of Partial Differential Equations (PDE) has received limited attention in existing literature. The main difficulty in PDE fault diagnosis arises from the spatio-temporal evolution of the faults, as opposed to temporal-only fault dynamics in ODE systems. In this work, we develop a fault diagnosis scheme for one-dimensional wave equations. A key aspect of this fault diagnosis scheme is to distinguish the effect of uncertainties from faults. The scheme consists of a PDE observer whose output error is treated as a...

Dual Hopfield Methods for Large-Scale Mixed-Integer Programming

Travacca, Bertrand
Moura, Scott
2018

We present a novel heuristic first order method for large-scale mixed-integer programs, more specifically we focus on mixed-integer quadratically constrained quadratic programs. Our method builds on Lagrangian relaxation techniques and Hopfield Neural Networks. For illustration, we apply this method to an economic load dispatch problem and compare with two convex approximation techniques.

State and Disturbance Estimator for Unstable Reaction-Advection-Diffusion PDE with Boundary Disturbance

Zhang, Dong
Tang, Shu-Xia
Moura, Scott J.
2019

We propose an asymptotically convergent state and disturbance estimator for a class of reaction-advection- diffusion PDEs where the disturbance is anti-collocated with control input, using measurements at both boundaries. Two auxiliary systems are designed for disturbance estimation, adopting the output error injection method, where the disturbance estimator is determined by the plant model structure and measured signals. A sufficient condition on the reaction coefficient is derived for which the disturbance estimator achieves asymptotic convergence to the true value. All states in the...

Solving Overstay in PEV Charging Station Planning via Chance Constrained Optimization

Zeng, Teng
Zhang, Hongcai
Moura, Scott
2019

Currently, the utilization rate of public plug-in electric vehicle (PEV) charging stations is only 15%. During the other 85% of the time, the chargers are either idle or occupied by a fully charged PEV. Strategically switching a fully charged PEV to another one waiting to charge, which we refer to as interchange, is an indispensable measure to enhancing charging station utilization. This paper studies the PEV charging station planning problem considering strategic interchange, which has not yet been well studied in the literature. The objective is to enhance utilization rate while lowering...

Model-Based Battery Thermal Fault Diagnostics: Algorithms, Analysis, and Experiments

Dey, Satadru
Perez, Hector E.
Moura, Scott J.
2019

Safety and reliability remain critical issues for lithium-ion (Li-ion) batteries. Out of many possible degradation modes, thermal faults constitute a significant part of critical causes that lead to battery degradation and failure. Therefore, it is extremely important to diagnose these thermal faults in real time to ensure battery safety. Motivated by this fact, we propose a partial differential equation (PDE) model-based real-time scheme in this paper for diagnosing thermal faults in Li-ion batteries. The objective of the diagnostic scheme is to detect and estimate the size of the thermal...

CAREER: Estimation and Control of Electrochemical-Thermal Battery Models: Theory and Experiments

Moura, Scott J.
2019

This Faculty Early Career Development Program (CAREER) project will benefit national interests by advancing knowledge on battery management systems based on electrochemical-thermal models. Batteries are the linchpin technology for multiple economic sectors, including consumer electronics, transportation, and electric power systems. However, today's battery management systems use simplistic models, which have raised serious performance and safety issues. For example, significant electrification of the U.S. vehicle fleet will require fast charging and long-range batteries. Simultaneously, we...