Automotive Innovation

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Active Collision Avoidance System Design Based on Model Predictive Control with Varying Sampling Time
Automotive Innovation - Tập 3 - Trang 62-72 - 2020
Wanying Xue, Ling Zheng
In active collision avoidance, the trajectory tracking controller determines the deviation from the reference path and the vehicle stability. The main objective of this study was to reduce the tracking error and improve the tracking performance in collision avoidance. Unlike the previously proposed model predictive control (MPC) strategies with constant sampling time, an improved MPC controller wi...... hiện toàn bộ
Optimal-Control-Based Eco-Driving Solution for Connected Battery Electric Vehicle on a Signalized Route
Automotive Innovation - Tập 6 - Trang 586-596 - 2023
Hafiz Muhammad Yasir Naeem, Yasir Awais Butt, Qadeer Ahmed, Aamer Iqbal Bhatti
Speed advisory systems have been used for connected vehicles to optimize energy consumption. However, for their practical utilization, presence of preceding vehicles and signals must be taken into account. Moreover, for Battery Electric Vehicles (BEVs), factors that deteriorate battery’s life cycle and discharging time must also be considered. This paper proposes an eco-driving control for connect...... hiện toàn bộ
Effects of Vessel and Water Temperatures on Direct Injection in Internal Combustion Rankine Cycle Engines
Automotive Innovation - - 2018
Jingtao Wu, Zhe Kang, Zhehao Zhang, Zhilong Li, Jun Deng, Zhijun Wu
Constraining Design: Applying the Insights of Cognitive Work Analysis to the Design of Novel In-Car Interfaces to Support Eco-Driving
Automotive Innovation - Tập 3 - Trang 30-41 - 2020
Craig K. Allison, Neville A. Stanton
The design with intent (DwI) toolkit assists designers in creating novel designs and interfaces. DwI, however, is not constrained to any degree, making it impossible to know whether the produced designs adequately account for users’ needs. In contrast, cognitive work analysis (CWA) is a human factors research tool that seeks to map a system and account for users’ needs, yet does not provide clear ...... hiện toàn bộ
Review of DC-DC Converter Topologies Based on Impedance Network with Wide Input Voltage Range and High Gain for Fuel Cell Vehicles
Automotive Innovation - Tập 4 - Trang 351-372 - 2021
Xiaogang Wu, Jiulong Wang, Yun Zhang, Jiuyu Du, Zhengxin Liu, Yu Chen
The development of fuel cell vehicles (FCVs) has a major impact on improving air quality and reducing other fossil-fuel-related problems. DC-DC boost converters with wide input voltage ranges and high gains are essential to fuel cells and DC buses in the powertrains of FCVs, helping to improve the low voltage of fuel cells and “soft” output characteristics. To build DC-DC converters with the desir...... hiện toàn bộ
Genetic Algorithm-Based SOTIF Scenario Construction for Complex Traffic Flow
Automotive Innovation - Tập 6 Số 4 - Trang 531-546 - 2023
Shulian Zhao, Jianli Duan, Siyu Wu, Xing-Tong Gu, Chuzhao Li, Kai Yin, Hong Wang
Evaluation of the Effectiveness of Awareness Messages for Road Traffic Hazards in Experimental Tests
Automotive Innovation - Tập 1 - Trang 76-84 - 2018
Ai Takeda, Makoto Kondo, Tetsushi Mimuro
Advanced driver assistance systems, especially autonomous emergency braking and forward collision warnings, have become popular in Japan. To reduce the number of road traffic accidents, safety information should be provided to a driver earlier than avoidance or warning messages so as to avoid a risky situation. A series of actual running tests was conducted to evaluate the activation timing and ef...... hiện toàn bộ
Effects of Driver Response Time Under Take-Over Control Based on CAR-ToC Model in Human–Machine Mixed Traffic Flow
Automotive Innovation - Tập 6 - Trang 3-19 - 2023
Yucheng Zhao, Haoran Geng, Jun Liang, Yafei Wang, Long Chen, Linhao Xu, Wanjia Wang
The take-over control (ToC) of human–machine interaction is a hotspot. From automatic driving to manual driving, some factors affecting driver response time have not been considered in existing models, and little attention has been paid to its effects on mixed traffic flow. This study establishes a ToC model of response based on adaptive control of thought-rational cognitive architecture (CAR-ToC)...... hiện toàn bộ
Dynamic Rollover Prediction of Heavy Vehicles Considering Critical Frequency
Automotive Innovation - Tập 3 - Trang 158-168 - 2020
Zhansheng Ye, Weidong Xie, Yuming Yin, Zhijun Fu
Rollover of commercial heavy vehicles can cause enormous economic losses and fatalities. It is easier for such vehicles to rollover if the driver’s steering frequency is close to the critical frequency of the vehicle’s roll motion; however, the critical roll frequency has rarely been investigated. In this study, the second-order transfer function between the steering input and roll angle was devel...... hiện toàn bộ
Engine-Map-Based Predictive Fuel-Efficient Control Strategies for a Group of Connected Vehicles
Automotive Innovation - Tập 1 Số 4 - Trang 311-319 - 2018
Qiu, Lihong, Qian, Lijun, Abdollahi, Zoleikha, Kong, Zhouwei, Pisu, Pierluigi
An engine-map-based predictive fuel-efficient control strategy for a group of connected vehicles is presented. A decentralized model predictive control framework is formulated to predict the optimal velocity profile that compromises fuel economy and mobility while guaranteeing the safety of each vehicle. In the model predictive control framework, an engine-map-based fuel consumption model is estab...... hiện toàn bộ
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