An Eco-Cruise Control for Electric Vehicles Moving on Slope Road with Constant Speed

Author:

Zhang Ying1ORCID,Zhang Yingjie2ORCID,Liu Zhaohua3ORCID,Chen Jinchao1ORCID,You Tao1ORCID,Du Chenglie1

Affiliation:

1. School of Computer Science, Northwestern Polytechnical University, Xi’an 710129, China

2. College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China

3. School of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201, China

Abstract

The unreasonable actuation of electric vehicle’s motor drive system usually results in a lot of unwanted energy consumption on a slope road. This paper proposes an eco-cruise control (ECC) scheme based on the driving condition estimation to decrease electric vehicle’s energy consumption in the constant-speed cruise control mode. The eco-cruise control scheme is realized by reducing the unreasonable actuation of the motor drive system. The vehicle’s total mass and pitch angle are estimated in real time by using an improved base-vector-based cross iteration estimator (BVCIE). Based on the estimated results, the required torque is predicted. Combining the speed deviation between the desired speed and the real speed, and the torque deviation between the required torque and the real torque, a three-power nonlinear controller of the ECC scheme is designed. The ECC scheme is validated on a slope road with different cruise speeds on a cosimulation platform, and the results indicate that the proposed strategy enjoys a better speed maintenance ability and energy efficiency compared with the benchmarked cruise control.

Funder

National Key R&D Program of China

Publisher

Hindawi Limited

Subject

Strategy and Management,Computer Science Applications,Mechanical Engineering,Economics and Econometrics,Automotive Engineering

Reference42 articles.

1. Research on local dynamic path planning method for intelligent vehicle lane-changing;Z. Q. Liu;Journal of Advanced Transportation,2019

2. Covert attacks through adversarial learning: studying the effect of lane keeping attacks on the safety of autonomous vehicles;F. Farivar;IEEE,2021

3. Adaptive Estimation of Vehicle Velocity From Updated Dynamic Model for Control of Anti-Lock Braking System

4. A multi-objective model predictive control for vehicle adaptive cruise control system based on a new safe distance model;Z. Liu;International Journal of Automotive Technology,2021

5. Robust lateral motion control for in-wheel-motor-drive electric vehicles with network induced delays;L. Zhang;IEEE Transactions on Vehicular Technology,2019

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