A review of component-in-the-loop: Cyber-physical experiments for rapid system development and integration

H Fagcang, R Stobart, T Steffen - Advances in Mechanical …, 2022 - journals.sagepub.com
To meet rising demands in performance and emissions compliance, companies are driven
to develop systems of ever-increasing complexity. In-the-loop methods use a hybrid …

An independent component analysis based correlation coefficient method for internal short-circuit fault diagnosis of battery-powered intelligent transportation systems

G Wang, S Jin, G Zhao, J Zhao, J Xie - Control Engineering Practice, 2023 - Elsevier
Battery-powered intelligent transportation systems (BPITS) are growing at an alarming rate,
and a problem that cannot be ignored is that the safety of battery packs is currently the weak …

[HTML][HTML] Analysis based on statistical distributions: A practical approach for stochastic solvers using discrete and continuous problems

J Herzog, J Brest, B Bošković - Information Sciences, 2023 - Elsevier
This paper proposes an approach for the analysis and comparison of stochastic solvers
based on the statistical distribution of their variables. The observed variables of the …

Voltage measurement-based recursive adaptive method for internal short circuit fault diagnosis in lithium-ion battery packs

G Wang, S Jin, J Jiao, J Xie - Control Engineering Practice, 2024 - Elsevier
Internal short circuit (ISC) has been identified as a major cause of thermal runaway in lithium-
ion (Li-ion) battery systems, making the investigation of ISC fault diagnosis a focal research …

Energy-optimal adaptive control based on model predictive control

Y Li, G Hao - Sensors, 2023 - mdpi.com
Energy-optimal adaptive cruise control (EACC) is becoming increasingly popular due to its
ability to save energy. Considering the negative impacts of system noise on the EACC, an …

Applying a numerical optimization to determine the entropic heat coefficient of a battery

M Lenz, T Hoehl, S Mertes, S Pischinger - Applied Thermal Engineering, 2022 - Elsevier
The quality of modeling the thermal behavior of a battery also depends on the accuracy of
the entropic heat coefficient (EHC) applied. The EHC has so far been experimentally …

Learning-Based Model Predictive Control for the Energy Management of Hybrid Electric Vehicles Including Driving Mode Decisions

DT Machacek, S van Dooren, T Huber… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper presents an online-capable controller for the energy management system of a
parallel hybrid electric vehicle based on model predictive control. Its task is to minimize the …

Cost reference particle filter with multi-probability distribution for nonlinear dynamic systems with unknown noise statistics

X Wang, Y Yi, L Wu, CY Su, Y Li, B Liu - Digital Signal Processing, 2023 - Elsevier
The lack of particle diversity is a vital problem in particle filtering for nonlinear dynamic
systems with unknown noise statistics. In this paper, cost reference particle filter with multi …

Modular Energy Management for Hybrid Electric Vehicles

D Machacek - 2024 - research-collection.ethz.ch
The year 2000 marked the beginning of mass production of hybrid electric vehicles (HEVs)
with the introduction of the Toyota Prius. Since the debut of the Prius, the diversity of …