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Matteo Acquarone
Observed name:
ACQUARONE, MATTEO
Institution:
Politecnico di Torino
Observed institutions:
Politecnico di Torino,
Stanford University
ORCID:
0009-0003-7966-5397
Observed ORCID:
0009-0003-7966-5397
OpenAlex ID:
A5080095116
Domain knowledge-guided machine learning framework for state of health estimation in Lithium-ion batteries
2024
·
Andrea Lanubile
, Pietro Bosoni
, et al.
·
Communications Engineering
·
69
Safe Reinforcement Learning for Energy Management of Electrified Vehicle With Novel Physics-Informed Exploration Strategy
2024
·
Atriya Biswas
, Matteo Acquarone
, et al.
·
IEEE Transactions on Transportation Electrification
·
22
PDF
Regression based battery state of health estimation for multiple electric vehicle fast charging protocols
2024
·
Matteo Acquarone
, Federico Miretti
, et al.
·
Journal of Power Sources
·
18
Associations of battery cell voltage consistency with driving behavior of real-world electric vehicles
2024
·
Shaopeng Li
, Hui Zhang
, et al.
·
Green Energy and Intelligent Transportation
·
14
Online Temperature-Aware Equivalent Consumption Minimization Strategy for Mild Hybrid Electric Powertrains
2024
·
Matteo Acquarone
, Federico Miretti
, et al.
·
IEEE Transactions on Vehicular Technology
·
14
PDF
Influence of the Reward Function on the Selection of Reinforcement Learning Agents for Hybrid Electric Vehicles Real-Time Control
2023
·
Matteo Acquarone
, Claudio Maino
, et al.
·
Energies
·
12
PDF
Acceleration control strategy for Battery Electric Vehicle based on Deep Reinforcement Learning in V2V driving
2022
·
Matteo Acquarone
, Angelo Borneo
, et al.
·
IEEE Transportation Electrification Conference and Expo
·
10
PDF
Cooperative Adaptive Cruise Control Based on Reinforcement Learning for Heavy-Duty BEVs
2023
·
Matteo Acquarone
, Federico Miretti
, et al.
·
IEEE Access
·
9
PDF
Battery temperature anomaly early warning for electric vehicles under real driving conditions using a temporal convolutional network
2025
·
Shaopeng Li
, Hui Zhang
, et al.
·
eTransportation
·
5
Battery temperature aware equivalent consumption minimization strategy for mild hybrid electric vehicle powertrains
2022
·
Matteo Acquarone
, Pier Giuseppe Anselma
, et al.
·
IEEE Vehicle Power and Propulsion Conference (VPPC)
·
4
PDF
States Estimation for Parallel-Connected Battery Module: A Moving Horizon Approach
2025
·
Simone Fasolato
, Matteo Acquarone
, et al.
·
IEEE Transactions on Control Systems Technology
·
3
Exergy Management Strategies for Hybrid Electric Ground Vehicles: A Dynamic Programming Solution
2023
·
Matteo Acquarone
, Gabriele Pozzato
, et al.
·
Journal of Dynamic Systems Measurement and Control
·
2
Comprehensive Techno-Economic Analysis of Battery-Electric Trucks: Evaluating Battery Aging Impact for Regional Delivery Missions
2025
·
Trentalessandro Costantino
, Matteo Acquarone
, et al.
·
SAE technical papers on CD-ROM/SAE technical paper series
·
1
Offline and Online Exergy-Based Strategies for Hybrid Electric Vehicles
2024
·
Matteo Acquarone
, Gabriele Pozzato
, et al.
·
Journal of Dynamic Systems Measurement and Control
·
1
Sleek dual Extended Kalman Filter for Battery State of Charge and State of Health Estimation in Electric Vehicle Applications
2024
·
Matteo Acquarone
, Federico Miretti
, et al.
·
SAE technical papers on CD-ROM/SAE technical paper series
·
1
Battery Electric Vehicle Control Strategy for String Stability based on Deep Reinforcement Learning in V2V Driving
2023
·
Angelo Borneo
, Federico Miretti
, et al.
·
SAE technical papers on CD-ROM/SAE technical paper series
·
1
PDF
Advancing vehicle electrification: control strategies for hybrid electric vehicles and battery management algorithms for state estimation
2025
·
ACQUARONE, MATTEO
·
PORTO@Iris
PDF
Incorporating Battery Aging Phenomena For Cost-Effective Battery Electric Truck Fleets
2025
·
Trentalessandro Costantino
, Matteo Acquarone
, et al.
·
SSRN Electronic Journal
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Works count:
18
Citation count:
186
H-index:
8
I10-index:
7
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