Physics-Oriented Optimization of a Distributed Electro-Hydraulic Brake System for Electric Vehicles
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| Title: | Physics-Oriented Optimization of a Distributed Electro-Hydraulic Brake System for Electric Vehicles |
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| Authors: | Giannini, Gregorio, Belloni, Mattia, Ghigi, Marco, Savi, Lorenzo, Vignati, Michele, Braghin, Francesco |
| Contributors: | Giannini, Gregorio, Belloni, Mattia, Ghigi, Marco, Savi, Lorenzo, Vignati, Michele, Braghin, Francesco |
| Publication Year: | 2026 |
| Collection: | RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano |
| Subject Terms: | distributed electro-hydraulic brake, brake-by-wire, battery electric vehicle, genetic algorithm optimization, hydraulic brake modeling, brake system optimization |
| Description: | The transition to battery electric vehicles (BEVs) is enabling the significant redesign of key subsystems, including braking systems. This work presents a physics-based optimization framework for the preliminary design of a distributed electro-hydraulic brake-by-wire (DEHB) system tailored for electric vehicles. The DEHB system is modeled as a two-phase actuation process captured through a coupled electro-mechanical and hydraulic model: initial pad-disc clearance closure and subsequent pressure buildup. Sensitivity analysis is employed to identify critical design parameters, and a multi-objective genetic algorithm is used to minimize electrical power consumption, peak current, and maximum torque while satisfying performance constraints. The optimized configuration is benchmarked against commercially available solutions and validated against a multiphysics simulation, showing deviations below 8% for current and power. A dynamic analysis incorporating vehicle-level ABS logic demonstrates the improved performance and energy efficiency of the DEHB system during emergency braking, with a reduction of 50% in required power if compared to a non-optimized system. The results confirm the effectiveness of the proposed method for early-stage sizing and highlight the potential of DEHB architectures in future electric vehicle platforms. |
| Document Type: | article in journal/newspaper |
| Language: | English |
| Relation: | info:eu-repo/semantics/altIdentifier/wos/WOS:001657143900001; volume:16; issue:1; firstpage:1; lastpage:18; numberofpages:18; journal:APPLIED SCIENCES; https://hdl.handle.net/11311/1304345 |
| DOI: | 10.3390/app16010506 |
| Availability: | https://hdl.handle.net/11311/1304345 https://doi.org/10.3390/app16010506 |
| Rights: | info:eu-repo/semantics/openAccess |
| Accession Number: | edsbas.827C243A |
| Database: | BASE |
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