G. Litta, R. Di Rienzo, R. Morello, R. Roncella, F. Baronti and R. Saletti, "Flexible platform with wireless interface for DC-motor remote control," IESES 2018, Hamilton, 2018, pp. 509-514.

R. Di Rienzo, R. Roncella, R. Morello, F. Baronti and R. Saletti, "Low-cost modular battery emulator for battery management system testing," IESES 2018, Hamilton, 2018, pp. 44-49.

X.Tian, B. Jeppesen, T. Ikushima, F. Baronti and R. Morello, "Accelerating state-of-charge estimation in FPGA-based Battery Management Systems," 6th Hybrid and Electric Vehicles Conference (HEVC 2016), London, 2016, pp. 1-6.

This paper presents the implementation of a state of charge (SOC) estimator for Lithium-ion battery in a Field Programmable Gate Array (FPGA) based System-in-the-Loop platform. The paper explains and provides results from alternative methods for...

R. Di Rienzo, F. Baronti, R. Roncella, R. Morello and R. Saletti, "Simulation platform for analyzing battery parallelization," SMACD 2017, Giardini Naxos, Italy, 2017, pp. 1-4.

This paper discusses a simulation platform for predicting the behavior of a battery system comprising two batteries, which can be parallelized in a controllable way. The model of the battery, the load and the parallelization algorithm is developed and...

R. Morello, R. Di Rienzo, R. Roncella, R. Saletti and F. Baronti, "Tuning of Moving Window Least Squares-based algorithm for online battery parameter estimation," SMACD 2017, Giardini Naxos, Italy, 2017, pp. 1-4.

Online battery parameter identification algorithms, such as the Moving Window Least Squares, allow model-based state estimators with low computational intensity to be very accurate. This paper presents a procedure for tuning the algorithm parameters by...

R. Morello, R. Di Rienzo, F. Baronti, R. Roncella and R. Saletti, "System on chip battery state estimator: E-bike case study", IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, Florence, 2016

This paper discusses the hardware implementation and experimental validation of a model-based battery state estimator. The model parameters are identified online using the moving window least squares method. The estimator is implemented in a field...

R. Morello, F. Baronti, X. Tian, T. Chau, R. Di Rienzo, R. Roncella, B. Jeppesen, W. H. Lin, T. Ikushi-ma, R. Saletti: “Hardware-in-the-Loop Simulation of FPGA-based State Estimators for Electric Vehicle Batteries”, ISIE 2016, 8-10 June 2016

This paper describes a hardware-in-the-loop (HiL) simulation platform specifically designed to test state estimators for Li-ion batteries in electric vehicle applications. Two promising estimators, the Mix algorithm combined with the moving window least...

R. Morello, W. Zamboni, F. Baronti, R. D. Rienzo, R. Roncella, G. Spagnuolo, and R. Saletti, “Comparison of state and parameter estimators for electric vehicle batteries”, in IECON 2015 - 41st Annual Conference of the IEEE Ind. Electron. Soc., 2015

A Battery Management System (BMS) is needed to ensure a safe and effective operation of a Lithium-ion battery, especially in electric vehicle applications. An important function of a BMS is the reliable estimation of the battery state in a wide range of...