Smart Mobility Boosting Using High-Fidelity Magnetorheological Fluid Modeling for Adaptive Damper Control Development

Summary

This protocol details the development of a temperature-compensated magnetorheological (MR) damper control system that combines high-fidelity magnetorheological fluid modeling, optimized fluid preparation, and adaptive thermal compensation control algorithms. The methodology can be applied to automotive suspensions to significantly enhance the comfort of electric vehicles.

Abstract

With the rise of high-performance electric vehicles (EVs) which require advanced suspension systems capable of delivering precision, high force output, and rapid adaptability, magnetorheological (MR) dampers are critical for achieving rapid-response suspension control. However, their temperature sensitivity limits reliability under extreme conditions. This protocol presents a systematic approach to address this challenge. A high-performance MR fluid is synthesized using carbonyl iron particles dispersed in a thermally stable carrier fluid with anti-wear agents and antioxidants. We propose an Exponential Linear Mixed Analysis (ELMA) model and its parameter identification method, which can be considered as a superior alternative to the bi-plastic Bingham model. The ELMA framework is extended to MR dampers, with temperature compensation algorithms improving current tracking accuracy by 3.98% and force tracking accuracy by 7.75% (peak: 19.92%). Joint CarSim/Simulink simulations demonstrate that temperature-compensated Sky-hook and Mixed SH-ADD algorithms reduce vertical acceleration variance by 11.97% and peak pitch rate by 41.78% on Class D roads. This protocol bridges MR fluid physics to adaptive damper control, offering a replicable workflow for enhancing EV suspension systems in extreme thermal environments.

Introduction

The rapid development of high-performance electric vehicles (EVs) in recent years has brought more convenience to human society as well as new challenges and opportunities for conventional vehicles. For example, they require more responsive and precise powertrains¹ and advanced suspension systems capable of delivering precision, high-force output, and quick adaptability. Magnetorheological (MR) dampers are ideally suited to meet these requirements, utilizing magnetorheological fluids - a smart material that rapidly and reversibly changes its rheological properties (primarily viscosity and yield stress) in the presence of a magnetic field

Protocol

1. Synthesis of custom low-density MR fluids

1. Obtain the following materials: base oil PAO162 and additives: Organic bentonite, propylene carbonate, surfactant, and carbonyl iron powder.
2. To prepare the mix, follow the steps described below.
   1. Place PAO162 (for MRF1) in a 500 mL stainless steel vessel. Immerse the vessel in a 50 °C water bath and equilibrate for 10 min.
   2. Add organic bentonite to the base oil and stir at 600 rpm for 20 min using a mechanical stirrer (e.g., IKA RW 20). Add propylene carbonate (PC) and stir at 600 rpm for 10 min. Add surfactant T154A and stir at 600 rpm for 5 min.
   3. Gradua....

Results

The temperature compensation strategy presented in this protocol focuses primarily on magnetorheological dampers, and the compensation control is determined from comprehensive tests at the damper level over a range of current, velocity, and temperature dependencies. However, we also did the magnetorheological fluid-related temperature experiments to obtain the image shown in Figure 10, when the temperature is higher than 0 °C, we can see that the change rule .......

Discussion

The protocol provides a structured approach to address the temperature sensitivity of magnetorheological (MR) dampers through three interrelated innovations: optimized magnetorheological fluid synthesis, exponential linear mixing analysis (ELMA) modeling, and adaptive temperature compensation algorithms. Key steps include gradient-based homogenization of the magnetorheological fluid with sequential addition of additives at a controlled temperature (50 ± 2 °C) to minimize particle deposition. The original parame.......

Materials

List of materials used in this article

Name	Company	Catalog Number	Comments
air compressor	Dynair	DA5002CS
Carbonyl Iron Powder	BASF	CIP-SQ
Electro-hydraulic servo fatigue testing machine	DOCER	PWS-1000
MATLAB	Mathworks	R2022b
Organic bentonite	ELEMENTIS	-
Poly-alpha-olefin	INEOS	PAO162
Propylene carbonate	MACKLIN	PC
Rheometer	Anton Paar	MCR702
Surfactant	Jinzhou Xinxing	T154A
temperature control platform	Peltier	H-PTD200