activity
20242026
most citedElectrical Load Forecasting Model Using Hybrid LSTM Neural Networks with Online Correction

3 citations · 4 across the 7 of their papers we have counts for

collaborators

9 papers

eess.SY2026

RFSR-MI-MPC: Ranking-Based Feasible-Set Restriction for Real-Time Control of Reconfigurable Battery Packs

Albert Škegro, Quan Ouyang, Torsten Wik +1

A ranked-prefix feasible-set restriction is proposed for real-time mixed-integer model predictive control of series-connected reconfigurable battery packs with per-cell bypass swit…

eess.SY2026

Reducing Combinatorial Redundancy in Mixed-Integer MPC via Ranking-Based Feasible-Set Restriction for Reconfigurable Batteries

Albert Škegro, Torsten Wik, Changfu Zou

When mixed-integer model predictive control must select which of several similar units to activate, many same-size selections can yield closely spaced predicted outcomes, and branc…

eess.SY2026

Timescale-aware surrogate-assisted multi-objective optimization of battery cell design for energy density, fast charging, and degradation

Qingbo Zhu, Changfu Zou, Yicun Huang +2

Battery cell design must balance energy density, fast charging, and degradation, yet these metrics evolve over different time scales and are costly to optimize jointly. We develop…

eess.SY2026

Model Predictive Coolant Allocation for Integrated Tab-Surface Cooling of Battery Cells

Godwin K. Peprah, Torsten Wik, Masood Tamadondar +1

Battery electrical tab cooling is effective at reducing internal thermal gradients by exploiting the high thermal conductivity of the current collectors, whereas surface cooling is…

eess.SY2025

Online Aging-Aware Energy Optimization for Vehicle-Home-Grid Integration

Francesco Popolizio, Torsten Wik, Chih Feng Lee +1

This paper investigates the economic impact of vehicle-home-grid integration through an online optimization algorithm that manages energy flows between an electric vehicle, a house…

eess.SY2025

Smart Sensing Breaks the Accuracy Barrier in Battery State Monitoring

Xiaolei Bian, Changfu Zou, Björn Fridholm +2

Accurate state-of-charge (SOC) estimation is essential for optimizing battery performance, ensuring safety, and maximizing economic value. Conventional current and voltage measurem…

eess.SY2024

Thermal Modelling of Battery Cells for Optimal Tab and Surface Cooling Control

Godwin K. Peprah, Yicun Huang, Torsten Wik +2

Optimal cooling that minimises thermal gradients and the average temperature is essential for enhanced battery safety and health. This work presents a new modelling approach for ba…

eess.SY2024★ 1 cited

A Unified Model for Active Battery Equalization Systems

Quan Ouyang, Nourallah Ghaeminezhad, Yang Li +2

Lithium-ion battery packs demand effective active equalization systems to enhance their usable capacity and lifetime. Despite numerous topologies and control schemes proposed in th…

eess.SY2024★ 3 cited

Electrical Load Forecasting Model Using Hybrid LSTM Neural Networks with Online Correction

Nan Lu, Quan Ouyang, Yang Li +1

Accurate electrical load forecasting is of great importance for the efficient operation and control of modern power systems. In this work, a hybrid long short-term memory (LSTM)-ba…