TITLE:
Optimizing Pulsatile Energy Consumption in Blood Pumps with PSO
AUTHORS:
Binfeng Shi, Zhe Gou, Jianping Tan
KEYWORDS:
Blood Pump, Pulsatile Energy Consumption Optimization, Particle Swarm Optimization Algorithm
JOURNAL NAME:
Open Journal of Applied Sciences,
Vol.15 No.11,
November
21,
2025
ABSTRACT: Blood pump is a vital therapy for heart failure. Acting as the core device, it partially or fully supports the heart’s pumping function, providing crucial support for patients with end-stage heart failure. Nevertheless, achieving efficient pulsatile output from blood pumps presents a significant challenge in terms of energy consumption. Pulsatile operation necessitates frequent acceleration and deceleration of the drive motor, a process that incurs substantial energy expenditure. High energy consumption directly shortens battery life and impedes device miniaturization and portability, constituting a key bottleneck hindering clinical application that urgently requires resolution. This study applies the Particle Swarm Optimization (PSO) algorithm for the global optimization design of pulsatile speed control curves for blood pumps. An energy consumption model quantified by average power and a blood pump-cardiovascular coupling model based on the hydraulic characteristics of the pump is constructed, incorporating the constraints that must be satisfied during pulsation. Combined with the PSO algorithm, key speed points of the speed curve are automatically iterated and optimized. This systematic approach aims to explore and identify the optimal speed control curve that minimizes energy consumption while complying with normal human physiological indicators. It helps to provide a novel optimization design methodology for speed control curves, facilitating the development of a new generation of low-power, highly intelligent portable pulsatile blood pumps, holding significant theoretical value and promising clinical application prospects.