This paper is concerned with combined power-source sizing and energy management optimization for multi-motor-driven electric powertrains. Existing studies focus mostly on adopting heuristically determined battery and motor sizes for such powertrains, without a sufficient exploration of the coupling between power-source dimension and energy management strategy. To address this research gap, this paper aims at presenting an alternative, convex programming based method to optimize the multi-power-source integration problem, for vehicular economy maximization. Specifically, for the first time, we leverage this method to optimize an electric bus powertrain configuration with front-and-rear-axle dual motors and a clutch, as a case study. Numerous analysis results, as well as comparisons with common design/control practice, demonstrate the effectiveness and computational benefit of the proposed scheme.

Optimal Energy Management and Sizing of a Dual Motor-Driven Electric Powertrain

Since their introduction, anti-lock braking systems (ABS) have mostly relied on heuristic, rule-based control strategies. ABS performance, however, can be significantly improved thanks to many recent technological developments. This work presents an extensive review of the state of the art to verify such a statement and quantify the benefits of a new generation of wheel slip control (WSC) systems. Motivated by the state of the art, as a case study, a nonlinear model predictive control (NMPC) design based on a new load-sensing technology was developed. The proposed ABS was tested on Toyota’s high-end vehicle simulator and was benchmarked against currently applied industrial controller. Additionally, a comprehensive set of manoeuvres were deployed to assess the performance and robustness of the proposed NMPC design. The analysis showed substantial reduction of the braking distance and better steerability with the proposed approach. Furthermore, the proposed design showed comparable robustness against external factors to the industrial benchmark.

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Survey on Wheel Slip Control Design Strategies, Evaluation and Application to Antilock Braking Systems

Decoupling control of steering and driving system for in-wheel-motor-drive electric vehicle

Estimation on IMU yaw misalignment by fusing information of automotive onboard sensors

This study investigates a method for determining the torque distribution between front and rear in-wheel motors in an electric vehicle to improve energy efficiency. The method is based on an analyt...

Dongmei Wu

Papers

Torque distribution of a four in-wheel motors electric vehicle based on a PMSM system model:

Experimental Research on the Pressure Following Control of Electro-Hydraulic Braking System

Optimized Torque Distribution Algorithm to Improve the Energy Efficiency of 4WD Electric Vehicle

Stability Control of Four-Wheel-Drive Electric Vehicle with Electro-Hydraulic Braking System

A Study on Force Distribution Control for the Electric Vehicle with Four In-wheel motors