Electric Vehicles

Electric Vehicles Embedded Virtual Power Plants Dispatch Mechanism Design Considering Charging Efficiencies

Cui, Jingshi
Wu, Jiaman
Wu, Chenye
Moura, Scott
2023

The increasingly popular electric vehicles (EVs) are changing the control paradigm of the power grid due to their uncoordinated charging behaviors. However, if well coordinated, smart homes, workplaces, and other locations that support EV charging could provide the grid with the urgently required flexibility via virtual power plants (VPP). In this paper, we develop the EV charging schedule model by capturing the unwillingness of EV drivers to alter their initial charging behaviors, referred to as the discomfort function. Predictability and the value of charging time, which represent the...

Methods and Systems for Optimal Pricing and Charging Control of a Plug-in Electric Vehicle Charging Station

Moura, Scott
Zeng, Teng
Bae, Sangjae
Zeng, Wente
Lenox, Carl
Travacca, Bertrand
2023

Systems and methods for including overstay and human behavior in the pricing structure of a plug-in electric vehicle (PEV) charging station, in order to maximize operating revenue, and manage overstay duration. A mathematical framework with discrete choice models (DCM) is incorporated to operate a PEV charging station with an optimal pricing policy and charge control. The framework determines the probability of a PEV driver selecting various charging options, including overstay price. The pricing options are charging-flexibility, which allows a controller to manage charging costs...

Robo-Chargers: Optimal Operation and Planning of a Robotic Charging System to Alleviate Overstay

Ju, Yi
Zeng, Teng
Allybokus, Zaid
Moura, Scott
2024

Charging infrastructure availability is a major concern for plug-in electric vehicle users. Nowadays, the limited public chargers are commonly occupied by vehicles which have already been fully charged. Such phenomenon, known as overstay, hinders other vehicles’ accessibility to charging resources. In this paper, we analyze a charging facility innovation to tackle the challenge of overstay, leveraging the idea of Robo-chargers - automated chargers that can rotate in a charging station and proactively plug or unplug plug-in electric vehicles. We formalize an operation model for stations...

Sustainable Plug-In Electric Vehicle Integration into Power Systems

Zhang, Hongcai
Hu, Xiaosong
Hu, Zechun
Moura, Scott J.
2024

Integrating plug-in electric vehicles (PEVs) into the power and transport sectors can help to reduce global CO2 emissions. This synergy can be achieved with advances in battery technology, charging infrastructures, power grids and their interaction with the environment. In this Review, we survey the latest research trends and technologies for sustainable PEV–power system integration. We first provide the rationale behind addressing the requirements for such integration, followed by an overview of strategies for planning PEV charging infrastructures. Next, we introduce smart PEV charging...

LiFePO4 Battery Thermal Modeling: Bus Bar Thermal Effects⁎

Haas, Meridian
Nemati, Alireza
Moura, Scott
Nazari, Shima
2024

Lithium iron phosphate (LFP) batteries are ideal for electrification of off-road heavy-duty vehicles with less concerns on the system weight. However, the limited battery life aggravated by the long working hours is a primary concern for some of-road applications such as construction equipment. Temperature is one of the main influencing factors in battery aging. Therefore, accurate prediction of temperature dynamics with fast lumped parameter models is essential and can be used for long-term analysis. This paper introduces a thermal model for pack of cells, with each cell represented by...

Economic and Environmental Benefits of Automated Electric Vehicle Ride-Hailing Services in New York City

Zeng, Teng
Zhang, Hongcai
Moura, Scott
Shen, Zuo-Jun M.
2024

A precise, scalable, and computationally efficient mathematical framework is proposed for region-wide autonomous electric vehicle (AEV) fleet management, sizing and infrastructure planning for urban ride-hailing services. A comprehensive techno-economic analysis in New York City is conducted not only to calculate the societal costs but also to quantify the environmental and health benefits resulting from reduced emissions. The results reveal that strategic fleet management can reduce fleet size and unnecessary cruising mileage by up to 40% and 70%, respectively. This alleviates traffic...

Safe Learning MPC With Limited Model Knowledge and Data

Kandel, Aaron
Moura, Scott J.
2024

This article presents an end-to-end framework for safe learning-based control (LbC) using nonlinear stochastic MPC and distributionally robust optimization (DRO). This work is motivated by several open challenges in LbC literature. Many control-theoretic LbC methods require subject matter expertise (SME), often manifested as preexisting data of safe trajectories or structural model knowledge, to translate their own safety guarantees. In this article, we focus on LbC where the controller is applied directly to a system of which it has no or extremely limited direct experience, toward safety...

Integration of Hardware and Software for Battery Hardware-in-the-Loop Toward Battery Artificial Intelligence

Park, Saehong
Moura, Scott
Lee, Kyoungtae
2024

This article demonstrates a novel, compact-sized hardware-in-the-loop (HIL) system, and its verification using machine learning (ML) and artificial intelligence (AI) features in battery controls. Conventionally, a battery management system (BMS) involves algorithm development for battery modeling, estimation, and control. These tasks are typically validated by running the battery tester open-loop, i.e., the tester equipment executes the predefined experimental protocols line by line. Additional equipment is required to make the testing closed-loop, but the integration is typically not...

Guest Editorial Introduction to the Special Section on Next Generation Zero-Emission Vehicles

de Castro, Ricardo
Moura, Scott
Esteves, Rui
Corzine, Keith
2024

This special section features extended versions of papers originally published in the 2022 IEEE Vehicle Power and Propulsion Conference (VPPC22), hosted by the University of California, Merced, USA. This was the first time that the VPPC took place in California, USA. It was a timely visit. California recently announced that only zero-emission vehicles (ZEVs) will be allowed to be sold in the state by 2035. Other states and countries will surely follow. The VPPC, as one of the pioneer forums dedicated to electric mobility, is in a privileged position to create and disseminate knowledge that...

On Electrochemical Model-Based State Estimation for Lithium–Sulfur Batteries

Huang, Zhijia
Couto, Luis D.
Dangwal, Chitra
Xiao, Shujie
Lv, Wei
Zhang, Dong
Moura, Scott
2024

The high theoretical specific energy density of lithium–sulfur (Li–S) batteries positions them as an advanced next-generation battery system to overcome the limitations of conventional Li-ion batteries. Accurate estimation of the mass evolution of active sulfur species in Li–S cells is required, not only to monitor degradation mechanisms inside the cell but also to enable safe and efficient operation. The state estimation problem for electrochemical models (EMs) of Li–S cells is challenging, mainly due to the complex dynamics during discharge/charge processes. In this work, we consider a...