Automotive Innovation最新文献

Primary and Secondary Emissions Reduction Using Cylinder Deactivation Strategies for Gasoline Direct Injection Engines in Hybrid Vehicles. 混合动力汽车汽油直喷发动机汽缸停用策略降低一次和二次排放。

IF 4.8 1区工程技术

Automotive Innovation Pub Date : 2025-01-01 Epub Date: 2025-04-10 DOI: 10.1007/s42154-024-00328-6

George Brinklow, Jose Martin Herreros, Soheil Zeraati-Rezaei, Athanasios Tsolakis, Paul Millington, Amy Kolpin

{"title":"Primary and Secondary Emissions Reduction Using Cylinder Deactivation Strategies for Gasoline Direct Injection Engines in Hybrid Vehicles.","authors":"George Brinklow, Jose Martin Herreros, Soheil Zeraati-Rezaei, Athanasios Tsolakis, Paul Millington, Amy Kolpin","doi":"10.1007/s42154-024-00328-6","DOIUrl":"10.1007/s42154-024-00328-6","url":null,"abstract":"Stricter CO2 and local air quality targets are increasing the demand for electrified powertrains including hybrid electric vehicles (HEVs). The impact of an electrified vehicle powertrain on the catalytic performance of the emissions control system presents the challenge of multiple cold/warm starts during vehicle operation. This work investigates advanced energy efficient technologies to understand and enhance the catalytic reduction of primary and secondary emissions under challenging HEV operation conditions. A novel strategy based on the concept of engine cylinder deactivation is experimentally studied at various starting catalyst temperatures aiming to reduce the time required to reach catalyst light-off temperature and thus tailpipe emissions. Unregulated secondary emissions (NH3 and N2O) are also investigated, which are expected to become more pertinent in the future. This work demonstrates that operating under the studied strategy for a short period of time increased TWC temperature by up to 300 °C and reduced mass-based emissions of CO, NO, HCs, N2O and NH3. These findings are significant to inform the optimization of energy efficient catalyst heating strategies for HEVs in order to reduce both primary and secondary emissions.","PeriodicalId":36310,"journal":{"name":"Automotive Innovation","volume":"8 2","pages":"508-518"},"PeriodicalIF":4.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12152060/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144286694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cascaded Safety Analysis and Test Scenario Generation Techniques for Autonomous Driving: A Case Study with WATonoBus. 自动驾驶级联安全分析与测试场景生成技术：以WATonoBus为例。

IF 4.8 1区工程技术

Automotive Innovation Pub Date : 2025-01-01 Epub Date: 2025-03-28 DOI: 10.1007/s42154-024-00313-z

Chen Sun, Ruihe Zhang, Ahmad Reza Alghooneh, Minghao Ning, Pouya Panahandeh, Steven Tuer, Amir Khajepour

{"title":"Cascaded Safety Analysis and Test Scenario Generation Techniques for Autonomous Driving: A Case Study with WATonoBus.","authors":"Chen Sun, Ruihe Zhang, Ahmad Reza Alghooneh, Minghao Ning, Pouya Panahandeh, Steven Tuer, Amir Khajepour","doi":"10.1007/s42154-024-00313-z","DOIUrl":"10.1007/s42154-024-00313-z","url":null,"abstract":"Efficient exploration and understanding of an autonomous driving system's capabilities and functional boundaries are crucial for ensuring safety performance. This paper offers a comprehensive examination of safety verification and test case generation for autonomous driving function stacks, enhancing their safety and reliability. Firstly, we introduce a holistic approach that synergizes operational flow-oriented Hazard and Operability Study (HAZOP) with cascaded System-Theoretic Process Analysis (STPA) processes. Secondly, we propose a test case generation procedure that begins with an expansion to discrete parameters using tree search, followed by heterogeneous sampling in the continuous parameter space. Additionally, this paper features a real-world case study with WATonoBus, showcasing the practicality and effectiveness of the proposed methods in securing autonomous vehicles safe operation in complex urban settings. Our findings make a substantial contribution to the autonomous vehicle safety field, offering critical insights for ongoing research and development in this rapidly advancing area.","PeriodicalId":36310,"journal":{"name":"Automotive Innovation","volume":"8 2","pages":"252-263"},"PeriodicalIF":4.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12152100/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144286693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Scenario Factory 2.0: Scenario-Based Testing of Automated Vehicles with CommonRoad. 场景工厂2.0：基于场景的通用道路自动驾驶车辆测试。

IF 4.8 1区工程技术

Automotive Innovation Pub Date : 2025-01-01 Epub Date: 2025-05-25 DOI: 10.1007/s42154-025-00360-0

Florian Finkeldei, Christoph Thees, Jan-Niklas Weghorn, Matthias Althoff

{"title":"Scenario Factory 2.0: Scenario-Based Testing of Automated Vehicles with CommonRoad.","authors":"Florian Finkeldei, Christoph Thees, Jan-Niklas Weghorn, Matthias Althoff","doi":"10.1007/s42154-025-00360-0","DOIUrl":"10.1007/s42154-025-00360-0","url":null,"abstract":"Scenario-based testing plays a pivotal role in the development and validation of automated vehicles. Its main challenge is to efficiently generate realistic and relevant test scenarios to identify and analyze shortcomings of automated driving systems. The Scenario Factory 2.0 unifies several scenario generation techniques from the open-source CommonRoad framework and introduces simulation modes for coupling with the traffic simulators OpenTrafficSim and SUMO. The simulation modes enable generating scenarios with a tunable similarity to existing ones. As existing approaches, the Scenario Factory 2.0 integrates scenario generation from formal specifications and falsification techniques. Scenario Factory 2.0 has a modular structure and the modules can be easily rearranged for creating required scenarios. We evaluate the effectiveness of the novel simulation modes for various traffic scenarios and demonstrate the scenario generation with Scenario Factory 2.0 in a use case. The open-source code is provided at https://commonroad.in.tum.de/tools/scenario-factory.","PeriodicalId":36310,"journal":{"name":"Automotive Innovation","volume":"8 2","pages":"207-220"},"PeriodicalIF":4.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12152074/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144286695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Driver Steering Behaviour Modelling Based on Neuromuscular Dynamics and Multi-Task Time-Series Transformer 基于神经肌肉动力学和多任务时序变换器的驾驶员转向行为建模

IF 6.1 1区工程技术

Automotive Innovation Pub Date : 2024-01-11 DOI: 10.1007/s42154-023-00272-x

Yang Xing, Zhongxu Hu, Xiaoyu Mo, Peng Hang, Shujing Li, Yahui Liu, Yifan Zhao, Chen Lv