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Velocity Predictors for Predictive Energy Management in Hybrid Electric Vehicles

Sun, Chao
Hu, Xiaosong
Moura, Scott
Sun, Fengchun
2015

The performance and practicality of predictive energy management in hybrid electric vehicles (HEVs) are highly dependent on the forecast of future vehicular velocities, both in terms of accuracy and computational efficiency. In this brief, we provide a comprehensive comparative analysis of three velocity prediction strategies, applied within a model predictive control framework. The prediction process is performed over each receding horizon, and the predicted velocities are utilized for fuel economy optimization of a power-split HEV. We assume that no telemetry or on-board sensor...

Valuation of Urban Public Bus Electrification with Open Data and Physics-Informed Machine Learning

Vijay, Upadhi
Woo, Soomin
Moura, Scott
Jain, Akshat
Rodriguez, David
Gambacorta, Sergio
Ferrara, Giuseppe
Lanuzza, Luigi
Zulberti, Christian
Mellekas, Erika
Papa, Carlo
2023

This research provides a novel framework to estimate the economic, environmental, and social values of electrifying public transit buses, for cities across the world, based on open-source data. Electric buses are a compelling candidate to replace diesel buses for their environmental and social benefits. However, the state-of-art models to evaluate the value of bus electrification require granular and bespoke data on bus operation that can be difficult to procure. This strict requirement on data and modeling can hinder potential collaborators on bus electrification, such as electric vehicle...

Valuation of Public Bus Electrification with Open Data

Vijay, Upadhi
Woo, Soomin
Moura, Scott
Jain, Akshat
Rodriguez, David
Gambacorta, Sergio
Ferrara, Giuseppe
Lanuzza, Luigi
Zulberti, Christian
Mellekas, Erika
Papa, Carlo
2022

This research provides a novel framework to estimate the economic, environmental, and social values of electrifying public transit buses, for cities across the world, based on open-source data. Electric buses are a compelling candidate to replace diesel buses for the environmental and social benefits. However, the state-of-art models to evaluate the value of bus electrification are limited in applicability because they require granular and bespoke data on bus operation that can be difficult to procure. Our valuation tool uses General Transit Feed Specification, a standard data format used...

Trajectory-Integrated Accessibility Analysis of Public Electric Vehicle Charging Stations

Ju, Yi
Wu, Jiaman
Su, Zhihan
Li, Lunlong
Zhao, Jinhua
González, Marta C.
Moura, Scott
2025

Electric vehicle (EV) charging infrastructure is crucial for advancing EV adoption, managing charging loads, and ensuring equitable transportation electrification. However, there remains a notable gap in comprehensive accessibility metrics that integrate the mobility of the users. This study introduces a novel accessibility metric, termed Trajectory-Integrated Public EVCS Accessibility (TI-acs), and uses it to assess public electric vehicle charging station (EVCS) accessibility for approximately 6 million residents in the San Francisco Bay Area based on detailed individual trajectory data...

Thermal Fault Diagnostics in Lithium-ion Batteries Based on a Distributed Parameter Thermal Model

Dey, Satadru
Perez, Hector E.
Moura, Scott
2017

Lithium-ion (Li-ion) battery faults are potentially hazardous to battery health, safety and performance. Thermal fault mechanisms represent a critical subset of such failures. To ensure safety and reliability, battery management systems must have the capability of diagnosing these thermal failures. We present a Partial Differential Equation (PDE) model-based scheme for diagnosing thermal faults in Li-ion batteries. For this study, we adopt a distributed parameter one-dimensional thermal model for cylindrical battery cells. The diagnostic scheme objective is to detect and estimate the size...

Thermal-Enhanced Adaptive Interval Estimation in Battery Packs with Heterogeneous Cells

Zhang, Dong
Couto, Luis D.
Gill, Preet S.
Benjamin, Sebastien
Zeng, Wente
Moura, Scott
2022

The internal states of lithium-ion batteries need to be carefully monitored during operation to manage energy and safety. In this article, we propose a thermal-enhanced adaptive interval observer for state-of-charge (SOC) and temperature estimation for a battery pack. For a large battery pack with hundreds or thousands of heterogeneous cells, each individual cell characteristic is different from others. Practically, applying estimation algorithms on each and every cell would be mathematically and computationally intractable since battery packs are often characterized by combinations of...

System and Methods for Efficient Parking and Charging of Electrified Vehicles

Borrelli, Francesco
Moura, Scott
Shen, Xu
Woo, Soomin
2022

A system can include: a detector configured to provide input information; an electric vehicle; an electric vehicle charger; and a cloud server configured to execute a Simultaneous Parking and Charging Management (SPCM) method based on the input information, and communicate with the electric vehicle to assign a time for a certain electric vehicle charger based on a result of the executed SPCM method.

Sustainable Plug-In Electric Vehicle Integration into Power Systems

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

State-of-Charge Estimation for Lithium-Ion Batteries Based on a Nonlinear Fractional Model

Wang, Baojin
Liu, Zhiyuan
Li, Shengbo Eben
Moura, Scott
Peng, Huei
2017

This paper presents a new battery state-of-charge (SOC) estimation method for lithium-ion batteries (LIBs) based on a nonlinear fractional model with incommensurate differentiation orders. A continuous frequency distributed model is used to describe the incommensurate fractional system. A Luenberger-type observer is designed for battery SOCestimation. The observer gain that can stabilize the zero equilibrium of the estimation error system is derived by Lyapunov's direct method. The proposed SOC observer is examined using the real-time experimental data of LIBs. The robustness of the...

State-of-Health Estimation Pipeline for Li-ion Battery Packs with Heterogeneous Cells

Gill, Preet
Zhang, Dong
Couto, Luis D.
Dangwal, Chitra
Benjamin, Sebastien
Zeng, Wente
Moura, Scott
2022

The internal condition of lithium-ion batteries, in particular State-of-Health (SoH), needs careful monitoring to ensure safe and efficient operation. In this paper, we propose a hybrid online SoH estimation pipeline for series-connected heterogeneous cells. Implementing a single cell parameter estimation scheme for a battery pack with hundreds to thousands of cells is computationally intractable. This challenge is solved in this work using feature-based adaptive polling of cells with "extreme" parameter values. Furthermore, the electrical parameters for the polled cells are estimated...