Ricardo de Castro

Ricardo de Castro

University of California, Merced

H-index: 22

North America-United States

About Ricardo de Castro

Ricardo de Castro, With an exceptional h-index of 22 and a recent h-index of 15 (since 2020), a distinguished researcher at University of California, Merced, specializes in the field of electric vehicles, autonomous driving, battery-supercapacitor hybridization.

His recent articles reflect a diverse array of research interests and contributions to the field:

Advancing grape chemical analysis through machine learning and multi-sensor spectroscopy

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

On the Investigation of Car Steady-State Cornering Equilibria and Drifting

Journal of Agriculture and Food Research

A Pseudo-Optimal Control Strategy to Solve the 2023 IEEE VTS Motor Vehicles Challenge

Model Predictive Control for EV Chargers Coupling Electro-Thermal and Degradation Battery Models

Computer vision approaches for vehicle sideslip angle estimation

Fast Charging of Batteries using Cascade-Control-Barrier Functions

Ricardo de Castro Information

University

Position

___

Citations(all)

1745

Citations(since 2020)

834

Cited By

1230

hIndex(all)

22

hIndex(since 2020)

15

i10Index(all)

43

i10Index(since 2020)

25

Email

University Profile Page

Google Scholar

Ricardo de Castro Skills & Research Interests

electric vehicles

autonomous driving

battery-supercapacitor hybridization

Top articles of Ricardo de Castro

Advancing grape chemical analysis through machine learning and multi-sensor spectroscopy

Journal of Agriculture and Food Research

2024/6/1

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

IEEE Transactions on NanoBioscience

2016/12

On the Investigation of Car Steady-State Cornering Equilibria and Drifting

2024/4/9

Journal of Agriculture and Food Research

Journal of Agriculture and Food Research

2021

A Pseudo-Optimal Control Strategy to Solve the 2023 IEEE VTS Motor Vehicles Challenge

2023/10/24

Ricardo De Castro
Ricardo De Castro

H-Index: 14

Model Predictive Control for EV Chargers Coupling Electro-Thermal and Degradation Battery Models

2023/10/24

Ricardo De Castro
Ricardo De Castro

H-Index: 14

Jorge Varela Barreras
Jorge Varela Barreras

H-Index: 10

Computer vision approaches for vehicle sideslip angle estimation

2023/6/28

Fast Charging of Batteries using Cascade-Control-Barrier Functions

2023/5/31

Shuang Feng
Shuang Feng

H-Index: 5

Ricardo De Castro
Ricardo De Castro

H-Index: 14

Synthesis of Recursive Control Barrier Functions

Journal of Dynamic Systems, Measurement, and Control

2023/3/1

Ricardo De Castro
Ricardo De Castro

H-Index: 14

Shuang Feng
Shuang Feng

H-Index: 5

Non-Invasive Sensing of Key Chemical Compositions of Grapes

2023

Linear and nonlinear systems in continuous time: application to power converters

2023/1/1

Ricardo De Castro
Ricardo De Castro

H-Index: 14

Rui Esteves Araújo
Rui Esteves Araújo

H-Index: 17

Properties and control stability analysis of linear and nonlinear systems: applications to power converters

2023/1/1

Ricardo De Castro
Ricardo De Castro

H-Index: 14

Rui Esteves Araújo
Rui Esteves Araújo

H-Index: 17

Recent Advances in Automated Driving Technologies [From the Guest Editors]

2022/12/20

Ieee vts motor vehicles challenge 2023: A multi-physical benchmark problem for next generation energy management algorithms

2022/11/1

Ricardo De Castro
Ricardo De Castro

H-Index: 14

Experimental Validation of Online Motion Planning for Semi-Autonomous Vehicles

2022/11/1

Ricardo De Castro
Ricardo De Castro

H-Index: 14

Lyapunov-based fault tolerant control allocation

Vehicle System Dynamics

2022/10/3

Ricardo De Castro
Ricardo De Castro

H-Index: 14

Learning-Based Control for Hybrid Battery Management Systems

2022/5/29

Ricardo De Castro
Ricardo De Castro

H-Index: 14

An Analytic Hierarchy Process for Selecting Battery Equalization Methods

Energies

2022/3/26

qTSL: A Multilayer Control Framework for Managing Capacity, Temperature, Stress, and Losses in Hybrid Balancing Systems

IEEE Transactions on Control Systems Technology

2021/8/20

Recent advances in motion control, estimation, and diagnosis for automated vehicles [from the guest editors]

2021/8/16

See List of Professors in Ricardo de Castro University(University of California, Merced)

Co-Authors

academic-engine