Research on Energy-Saving Optimization Control Strategy for Distributed Hub Motor-Driven Vehicles

Aiming at the problems of energy utilization efficiency and braking stability in electric vehicles, a high-efficiency and energy-saving control strategy that takes both driving and braking into account is proposed with the distributed hub motor-driven vehicle as the research object. Under regular dr...

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Bibliographic Details
Published in:Energies (Basel) Vol. 18; no. 12; p. 3025
Main Authors: Huang, Bin, Wei, Jinyu, Ma, Minrui, Yang, Xu
Format: Journal Article
Language:English
Published: Basel MDPI AG 01.06.2025
Subjects:
Algorithms
anti-lock braking strategy (ABS)
Automobiles, Electric
China
distributed hub motor-driven vehicle
Emission standards
Energy conservation
Energy consumption
Energy efficiency
Energy management systems
Energy use
genetic algorithm
Optimization algorithms
optimization of drive torque
particle swarm algorithm
Simulation
sliding mode control
Vehicles
Working conditions
China
ISSN:1996-1073, 1996-1073
Online Access:Get full text
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Summary:Aiming at the problems of energy utilization efficiency and braking stability in electric vehicles, a high-efficiency and energy-saving control strategy that takes both driving and braking into account is proposed with the distributed hub motor-driven vehicle as the research object. Under regular driving and braking conditions, the front and rear axle torque distribution coefficients are optimized by an adaptive particle swarm algorithm based on simulated annealing and a multi-objective co-optimization strategy based on variable weight coefficients, respectively. During emergency braking, the anti-lock braking strategy (ABS) based on sliding mode control realizes the independent distribution of torque among four wheels. The joint simulation verification based on MATLAB R2023a/Simulink-Carsim 2020.0 shows that under World Light Vehicle Test Cycle (WLTC) conditions, the optimization strategy reduces the driving energy consumption by 3.20% and 2.00%, respectively, compared with the average allocation and the traditional strategy. The braking recovery energy increases by 4.07% compared with the fixed proportion allocation, improving the energy utilization rate of the entire vehicle. The wheel slip rate can be quickly stabilized near the optimal value during emergency braking under different adhesion coefficients, which ensures the braking stability of the vehicle. The effectiveness of the strategy is verified.
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content type line 14
ISSN:1996-1073
1996-1073
DOI:10.3390/en18123025