Javascript must be enabled to continue!
Dynamic Modeling and Simulation of Battery-Electric Multiple Units for Energy and Thermal Management Optimization in Regional Railway Applications
View through CrossRef
The electrification of regional railway lines using battery-electric trains requires accurate simulation tools to support energy management and thermal control design. This paper presents an integrated dynamic simulation model of the traction system of a Hitachi Caravaggio ETR 521 regional train operating in battery-electric mode, developed in MATLAB/Simulink 2024b. The model incorporates all key drivetrain components, including a train reference generator, speed controller, motor controller, three-phase inverter, induction motor, a Kokam Co., Ltd. lithium-ion battery pack, and a detailed battery thermal management system. The proposed framework enables simultaneous evaluation of traction performance, battery state of charge (SOC) evolution, and thermal behavior under realistic conditions. To validate the model, simulations of the Treviso–Vicenza route were conducted under two scenarios: traction-only operation and operation with a 160 kW auxiliary load. Simulation results demonstrate that auxiliary loads significantly affect energy consumption and battery thermal behavior, with energy consumption increased by 50%. The results highlight the importance of integrating thermal effects into energy management and sizing decisions for battery-electric regional trains. The developed model provides a practical tool for optimizing battery sizing, thermal management strategies, and overall energy performance, supporting the planning and design of sustainable electric railway solutions. The modular MATLAB/Simulink architecture is designed to be route-agnostic; extension to other regional lines with different gradients, speed profiles, or extreme climate conditions (e.g., alpine routes or high-temperature regions) requires only updated route data and adjusted ambient boundary conditions, demonstrating the model’s broad applicability beyond the Treviso–Vicenza case study.
Title: Dynamic Modeling and Simulation of Battery-Electric Multiple Units for Energy and Thermal Management Optimization in Regional Railway Applications
Description:
The electrification of regional railway lines using battery-electric trains requires accurate simulation tools to support energy management and thermal control design.
This paper presents an integrated dynamic simulation model of the traction system of a Hitachi Caravaggio ETR 521 regional train operating in battery-electric mode, developed in MATLAB/Simulink 2024b.
The model incorporates all key drivetrain components, including a train reference generator, speed controller, motor controller, three-phase inverter, induction motor, a Kokam Co.
, Ltd.
lithium-ion battery pack, and a detailed battery thermal management system.
The proposed framework enables simultaneous evaluation of traction performance, battery state of charge (SOC) evolution, and thermal behavior under realistic conditions.
To validate the model, simulations of the Treviso–Vicenza route were conducted under two scenarios: traction-only operation and operation with a 160 kW auxiliary load.
Simulation results demonstrate that auxiliary loads significantly affect energy consumption and battery thermal behavior, with energy consumption increased by 50%.
The results highlight the importance of integrating thermal effects into energy management and sizing decisions for battery-electric regional trains.
The developed model provides a practical tool for optimizing battery sizing, thermal management strategies, and overall energy performance, supporting the planning and design of sustainable electric railway solutions.
The modular MATLAB/Simulink architecture is designed to be route-agnostic; extension to other regional lines with different gradients, speed profiles, or extreme climate conditions (e.
g.
, alpine routes or high-temperature regions) requires only updated route data and adjusted ambient boundary conditions, demonstrating the model’s broad applicability beyond the Treviso–Vicenza case study.
Related Results
JIT 2023 - Jornadas de Jóvenes Investigadores Tecnológicos
JIT 2023 - Jornadas de Jóvenes Investigadores Tecnológicos
Es un honor presentar este libro que compila los trabajos de investigación y desarrollo presentados en las Jornadas de Jóvenes Investigadores Tecnológicos (JIT) 2023. Este evento s...
Thermal Effects in High Compactness CEA Stack
Thermal Effects in High Compactness CEA Stack
Thermal management is a pivotal aspect of stack durability and system operability. Consequently, understanding the thermal mapping within a stack based on its operating conditions ...
Integrated Traction and Battery Thermal Management Modeling of a Battery-Electric Regional Train for Non-Electrified Railway Lines
Integrated Traction and Battery Thermal Management Modeling of a Battery-Electric Regional Train for Non-Electrified Railway Lines
The electrification of regional railway lines using battery electric trains requires accurate simulation tools to support energy management and thermal control design. This paper p...
Pursuit of “Absolute Battery Safety, Fear-Free Energy and Mobility” - A Technology Roadmap Toward a Fail-Never Battery Future
Pursuit of “Absolute Battery Safety, Fear-Free Energy and Mobility” - A Technology Roadmap Toward a Fail-Never Battery Future
The Pursuit of “Absolute Battery Safety, Fear-Free Energy, and Mobility”—A ”Technology Roadmap Toward a Fail-Never Battery Future
As the electrification of transportation and energ...
Data-Driven Decision Making in Battery Technology – How to Compete in Global Battery Industry?
Data-Driven Decision Making in Battery Technology – How to Compete in Global Battery Industry?
Battery technology is regarded as a crucial key technology for the energy transition and thus a sustainable future, as batteries can store and distribute renewable energy to cover ...
Li-NMC Temperature Modelling Based on Realistic Internal Resistance
Li-NMC Temperature Modelling Based on Realistic Internal Resistance
Lithium-ion battery (LIB) produce heat when it is put under charging and discharging process. The heat generated during charging and discharging are directly related to the interna...
APPLICATION OF SOLAR ENERGY TO MEASURE PHOTOVOLTAIC CAPACITY AND BATTERY OPTIMIZATION
APPLICATION OF SOLAR ENERGY TO MEASURE PHOTOVOLTAIC CAPACITY AND BATTERY OPTIMIZATION
This study uses the Markov Decision Model (MDP) to implement battery degradation and optimize battery use in Photovoltaic and the battery system model created. The battery optimiza...
Application status and future of multi-scale numerical models for lithium ion battery
Application status and future of multi-scale numerical models for lithium ion battery
Lithium ion battery is nowadays one of the most popular energy storage devices due to its high energy, power density and cycle life characteristics. It has been known that the over...

