Automotive Innovation最新文献_第4页

Environmentally Responsible Lightweight Passenger Vehicle Design and Manufacturing 对环境负责的轻型乘用车设计和制造

IF 6.1 1区工程技术

Automotive Innovation Pub Date : 2023-08-25 DOI: 10.1007/s42154-023-00241-4

Glenn S. Daehn, Katrin E. Daehn, Oliver Kuttner

{"title":"Environmentally Responsible Lightweight Passenger Vehicle Design and Manufacturing","authors":"Glenn S. Daehn, Katrin E. Daehn, Oliver Kuttner","doi":"10.1007/s42154-023-00241-4","DOIUrl":"10.1007/s42154-023-00241-4","url":null,"abstract":"<div><p>The mass reduction of passenger vehicles has been a great focus of academic research and federal policy initiatives of the United States with coordinated funding efforts and even a focus of a Manufacturing USA Institute. The potential benefit of these programs can be described as modest from a societal point of view, for example reducing vehicle mass by up to 25% with modest cost implications (under $5 per pound saved) and the ability to implement with existing manufacturing methods. Much more aggressive reductions in greenhouse gas production are necessary and possible, while delivering the same service. This is demonstrated with a higher-level design thinking exercise on an environmentally responsible lightweight vehicle, leading to the following criteria: lightweight, low aerodynamic drag, long-lived (over 30 years and 2 million miles), adaptable, electric, and used in a shared manner on average over 8 h per day. With these specifications, passenger-mile demand may be met with around 1/10 of the current fleet. Such vehicles would likely have significantly different designs and construction than incumbent automobiles. It is likely future automotive production will be more analogous to current aircraft production with higher costs per pound and lower volumes, but with dramatically reduced financial and environmental cost per passenger mile, with less material per vehicle, and far less material required in the national or worldwide fleets. Subsidiary benefits of this vision include far fewer parking lots, greater accessibility to personal transportation, and improved pedestrian safety, while maintaining a vibrant and engaging economy. The systemic changes to the business models and research and development directions (including lightweight design and manufacturing) are discussed, which could bring forth far more sustainable personal transportation.</p></div>","PeriodicalId":36310,"journal":{"name":"Automotive Innovation","volume":"6 3","pages":"300 - 310"},"PeriodicalIF":6.1,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s42154-023-00241-4.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50046705","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: 1

A Bayesian Approach with Prior Mixed Strategy Nash Equilibrium for Vehicle Intention Prediction 基于先验混合策略纳什均衡的车辆意图预测贝叶斯方法

IF 6.1 1区工程技术

Automotive Innovation Pub Date : 2023-08-22 DOI: 10.1007/s42154-023-00229-0

Giovanni Lucente, Reza Dariani, Julian Schindler, Michael Ortgiese

{"title":"A Bayesian Approach with Prior Mixed Strategy Nash Equilibrium for Vehicle Intention Prediction","authors":"Giovanni Lucente, Reza Dariani, Julian Schindler, Michael Ortgiese","doi":"10.1007/s42154-023-00229-0","DOIUrl":"10.1007/s42154-023-00229-0","url":null,"abstract":"<div><p>The state-of-the-art technology in the field of vehicle automation will lead to a mixed traffic environment in the coming years, where connected and automated vehicles have to interact with human-driven vehicles. In this context, it is necessary to have intention prediction models with the capability of forecasting how the traffic scenario is going to evolve with respect to the physical state of vehicles, the possible maneuvers and the interactions between traffic participants within the seconds to come. This article presents a Bayesian approach for vehicle intention forecasting, utilizing a game-theoretic framework in the form of a Mixed Strategy Nash Equilibrium (MSNE) as a prior estimate to model the reciprocal influence between traffic participants. The likelihood is then computed based on the Kullback-Leibler divergence. The game is modeled as a static nonzero-sum polymatrix game with individual preferences, a well known strategic game. Finding the MSNE for these games is in the PPAD <span>(cap)</span> PLS complexity class, with polynomial-time tractability. The approach shows good results in simulations in the long term horizon (10s), with its computational complexity allowing for online applications.</p></div>","PeriodicalId":36310,"journal":{"name":"Automotive Innovation","volume":"6 3","pages":"425 - 437"},"PeriodicalIF":6.1,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s42154-023-00229-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50042513","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

Mechanical Performance Evaluation of Multi-Point Clinch–Adhesive Joints of Aluminum Alloy A5052-H34 and High-Strength Steel JSC780 铝合金A5052-H34与高强度钢JSC780多点压接接头力学性能评价

IF 6.1 1区工程技术

Automotive Innovation Pub Date : 2023-08-09 DOI: 10.1007/s42154-023-00234-3

Yunwu Ma, Reika Akita, Yohei Abe, Peihao Geng, Pengjun Luo, Seiichiro Tsutsumi, Ninshu Ma

{"title":"Mechanical Performance Evaluation of Multi-Point Clinch–Adhesive Joints of Aluminum Alloy A5052-H34 and High-Strength Steel JSC780","authors":"Yunwu Ma, Reika Akita, Yohei Abe, Peihao Geng, Pengjun Luo, Seiichiro Tsutsumi, Ninshu Ma","doi":"10.1007/s42154-023-00234-3","DOIUrl":"10.1007/s42154-023-00234-3","url":null,"abstract":"<div><p>The clinch–adhesive process, which combines mechanical clinching and adhesive bonding, is one of the most applied processes for joining aluminum alloy and steel in the manufacturing of vehicle bodies. In this hybrid process, the clinching joints and adhesive bonds are coupled and influenced by each other, posing challenges to the process design and joining strength evaluation. To understand the influence of the clinching process on the performance of the adhesive layer, this study analyzes the mechanical behavior of clinch–adhesive joints between high-strength steel JSC780 and aluminum alloy A5052-H34 with different stack-up orientations and varying numbers of clinching points. The results reveal that, under the steel-on-top condition, the clinching process causes a discontinuous distribution of the adhesive layer, which significantly decreased the bonding strength. In contrast, under the aluminum-on-top condition, the clinching process has a lesser impact on the distribution of the adhesive layer, resulting in much higher strength than the steel-on-top condition. Simulation models are constructed to quantify the effect of clinching points on the performance of the adhesive layer. The results highlight the need to consider diverse cohesive zone model parameters for the different stack orientations and clinching points in the design of clinch–adhesive aluminum alloy/steel structures.</p></div>","PeriodicalId":36310,"journal":{"name":"Automotive Innovation","volume":"6 3","pages":"340 - 351"},"PeriodicalIF":6.1,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s42154-023-00234-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50015538","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: 1

Thermal Runaway Characteristics and Modeling of LiFePO4 Power Battery for Electric Vehicles 电动汽车用LiFePO4动力电池热失控特性及建模

IF 6.1 1区工程技术

Automotive Innovation Pub Date : 2023-08-04 DOI: 10.1007/s42154-023-00226-3

Tao Sun, Luyan Wang, Dongsheng Ren, Zhihe Shi, Jie Chen, Yuejiu Zheng, Xuning Feng, Xuebing Han, Languang Lu, Li Wang, Xiangming He, Minggao Ouyang

{"title":"Thermal Runaway Characteristics and Modeling of LiFePO4 Power Battery for Electric Vehicles","authors":"Tao Sun, Luyan Wang, Dongsheng Ren, Zhihe Shi, Jie Chen, Yuejiu Zheng, Xuning Feng, Xuebing Han, Languang Lu, Li Wang, Xiangming He, Minggao Ouyang","doi":"10.1007/s42154-023-00226-3","DOIUrl":"10.1007/s42154-023-00226-3","url":null,"abstract":"<div><p>LiFePO<sub>4</sub> (LFP) lithium-ion batteries have gained widespread use in electric vehicles due to their safety and longevity, but thermal runaway (TR) incidents still have been reported. This paper explores the TR characteristics and modeling of LFP batteries at different states of charge (SOC). Adiabatic tests reveal that TR severity increases with SOC, and five stages are identified based on battery temperature evolution. Reaction kinetics parameters of exothermic reactions in each TR stage are extracted, and TR models for LFP batteries are established. The models accurately simulate TR behaviors at different SOCs, and the simulated TR characteristic temperatures also agree well with the experimental results, with errors of TR characteristic temperatures less than 3%. The prediction errors of TR characteristic temperatures under oven test conditions are also less than 1%. The results provide a comprehensive understanding of TR in LFP batteries, which is useful for battery safety design and optimization.</p></div>","PeriodicalId":36310,"journal":{"name":"Automotive Innovation","volume":"6 3","pages":"414 - 424"},"PeriodicalIF":6.1,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s42154-023-00226-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50007622","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

Real-Time Optimal Trajectory Planning for Autonomous Driving with Collision Avoidance Using Convex Optimization 基于凸优化的自动驾驶避碰实时最优轨迹规划

IF 6.1 1区工程技术

Automotive Innovation Pub Date : 2023-06-19 DOI: 10.1007/s42154-023-00222-7

Guoqiang Li, Xudong Zhang, Hongliang Guo, Basilio Lenzo, Ningyuan Guo

{"title":"Real-Time Optimal Trajectory Planning for Autonomous Driving with Collision Avoidance Using Convex Optimization","authors":"Guoqiang Li, Xudong Zhang, Hongliang Guo, Basilio Lenzo, Ningyuan Guo","doi":"10.1007/s42154-023-00222-7","DOIUrl":"10.1007/s42154-023-00222-7","url":null,"abstract":"<div><p>An online trajectory planning method for collision avoidance is proposed to improve vehicle driving safety and comfort simultaneously. The collision-free trajectory for autonomous driving is formulated as a nonlinear optimization problem. A novel approximate convex optimization approach is developed for the online optimal trajectory in both longitudinal and lateral directions. First, a dual variable is used to model the non-convex collision-free constraint for driving safety and is calculated by solving a dual problem of the relative distance between vehicles. Second, the trajectory is further optimized in a model predictive control framework considering the safety. It realizes continuous-time and dynamic feasible motion with collision avoidance. The geometry of object vehicles is described by polygons instead of circles or ellipses in traditional methods. In order to avoid aggressive maneuver in the longitudinal and lateral directions for driving comfort, rates of the acceleration and the steering angle are restricted. The final formulated optimization problem is convex, which can be solved by using quadratic programming solvers and is computationally efficient for online application. Simulation results show that this approach can obtain similar driving performance compared to a state-of-the-art nonlinear optimization method. Furthermore, various driving scenarios are tested to evaluate the robustness and the ability for handling complex driving tasks.</p></div>","PeriodicalId":36310,"journal":{"name":"Automotive Innovation","volume":"6 3","pages":"481 - 491"},"PeriodicalIF":6.1,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s42154-023-00222-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50037793","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

Fuzzy Unknown Input Observer for Estimating Sensor and Actuator Cyber-Attacks in Intelligent Connected Vehicles 基于模糊未知输入观测器的智能网联汽车传感器和执行器网络攻击估计

IF 6.1 1区工程技术

Automotive Innovation Pub Date : 2023-06-04 DOI: 10.1007/s42154-023-00228-1

Juntao Pan, Anh-Tu Nguyen, Sujun Wang, Huifan Deng, Hui Zhang

引用次数: 0

A Model-Based Battery Charging Optimization Framework for Proper Trade-offs Between Time and Degradation 一种基于模型的电池充电优化框架，用于时间与退化之间的合理权衡

IF 6.1 1区工程技术

Automotive Innovation Pub Date : 2023-05-30 DOI: 10.1007/s42154-023-00221-8

Sean Appleton, Abbas Fotouhi

{"title":"A Model-Based Battery Charging Optimization Framework for Proper Trade-offs Between Time and Degradation","authors":"Sean Appleton, Abbas Fotouhi","doi":"10.1007/s42154-023-00221-8","DOIUrl":"10.1007/s42154-023-00221-8","url":null,"abstract":"<div><p>This study aims at developing an optimization framework for electric vehicle charging by considering different trade-offs between battery degradation and charging time. For the first time, the application of practical limitations on charging and cooling power is considered along with more detailed health models. Lithium iron phosphate battery is used as a case study to demonstrate the effectiveness of the proposed optimization framework. A coupled electro-thermal equivalent circuit model is used along with two battery health models to mathematically obtain optimal charging current profiles by considering stress factors of state-of-charge, charging rate, temperature and time. The optimization results demonstrate an improvement over the benchmark constant current–constant voltage (CCCV) charging protocol when considering both the charging time and battery health. A main difference between the optimal and the CCCV charging protocols is found to be an additional ability to apply constraints and adapt to initial conditions in the proposed optimal charging protocol. In a case study, for example, the ‘optimal time’ charging is found to take 12 min while the ‘optimal health’ charging profile suggests around 100 min for charging the battery from 25 to 75% state-of-charge. Any other trade-off between those two extreme cases is achievable using the proposed charging protocol as well.</p></div>","PeriodicalId":36310,"journal":{"name":"Automotive Innovation","volume":"6 2","pages":"204 - 219"},"PeriodicalIF":6.1,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s42154-023-00221-8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50055506","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

Preface for Cyber-Attack Detection and Resilient Control of Intelligent and Connected Vehicles 智能网联汽车网络攻击检测与弹性控制前言

IF 6.1 1区工程技术

Automotive Innovation Pub Date : 2023-04-29 DOI: 10.1007/s42154-023-00227-2

Hui Zhang, Manjiang Hu, Anh-Tu Nguyen, Yunpeng Wang, Yang Shi

引用次数: 1

Global Optimization-Based Energy Management Strategy for Series–Parallel Hybrid Electric Vehicles Using Multi-objective Optimization Algorithm 基于全局优化的串并联混合动力汽车多目标优化能源管理策略

IF 6.1 1区工程技术

Automotive Innovation Pub Date : 2023-04-24 DOI: 10.1007/s42154-023-00225-4

Kegang Zhao, Kunyang He, Zhihao Liang, Maoyu Mai

{"title":"Global Optimization-Based Energy Management Strategy for Series–Parallel Hybrid Electric Vehicles Using Multi-objective Optimization Algorithm","authors":"Kegang Zhao, Kunyang He, Zhihao Liang, Maoyu Mai","doi":"10.1007/s42154-023-00225-4","DOIUrl":"10.1007/s42154-023-00225-4","url":null,"abstract":"<div><p>The study of series–parallel plug-in hybrid electric vehicles (PHEVs) has become a research hotspot in new energy vehicles. The global optimal Pareto solutions of energy management strategy (EMS) play a crucial role in the development of PHEVs. This paper presents a multi-objective global optimization algorithm for the EMS of PHEVs. The algorithm combines the Radau Pseudospectral Knotting Method (RPKM) and the Nondominated Sorting Genetic Algorithm (NSGA)-II to optimize both energy conservation and battery lifespan under the suburban driving conditions of the New European Driving Cycle. The driving conditions are divided into stages at evident mode switching points and the optimal objectives are computed using RPKM. The RPKM results serve as the fitness values in iteration through the NSGA-II method. The results of the algorithm applied to a PHEV simulation show a 26.74%–53.87% improvement in both objectives after 20 iterations compared to the solutions obtained using only RPKM. The proposed algorithm is evaluated against the weighting dynamic programming and is found to be close to the global optimality, with the added benefits of faster and more uniform solutions.</p></div>","PeriodicalId":36310,"journal":{"name":"Automotive Innovation","volume":"6 3","pages":"492 - 507"},"PeriodicalIF":6.1,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50102247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Safe, Efficient and Socially-Compatible Decision of Automated Vehicles: A Case Study of Unsignalized Intersection Driving 安全、高效与社会兼容的自动驾驶车辆决策——以无信号交叉口为例

IF 6.1 1区工程技术

Automotive Innovation Pub Date : 2023-04-20 DOI: 10.1007/s42154-023-00219-2

Daofei Li, Ao Liu, Hao Pan, Wentao Chen

{"title":"Safe, Efficient and Socially-Compatible Decision of Automated Vehicles: A Case Study of Unsignalized Intersection Driving","authors":"Daofei Li, Ao Liu, Hao Pan, Wentao Chen","doi":"10.1007/s42154-023-00219-2","DOIUrl":"10.1007/s42154-023-00219-2","url":null,"abstract":"<div><p>Safe and smooth interaction between other vehicles is one of the ultimate goals of driving automation. However, recent reports of demonstrative deployments of automated vehicles (AVs) indicate that AVs are still difficult to meet the expectation of other interacting drivers, which leads to several AV accidents involving human-driven vehicles (HVs) without the understanding about the dynamic interaction process. By investigating 4300 video clips of traffic accidents, it is found that the limited dynamic visual field of drivers is one leading factor in inter-vehicle interaction accidents. A game-theoretic decision algorithm considering social compatibility is proposed to handle the interaction with a human-driven truck at an unsignalized intersection. Starting from a probabilistic model for the visual field characteristics of truck drivers, social fitness and reciprocal altruism in the decision are incorporated in the game payoff design. Human-in-the-loop experiments are carried out, in which 24 subjects are invited to drive and interact with AVs deployed with the proposed algorithm and two comparison algorithms. Totally, 207 cases of intersection interactions are obtained and analyzed, which shows that the proposed decision-making algorithm can improve both safety and time efficiency, and make AV decisions more in line with the expectation of interacting human drivers. These findings can help inform the design of automated driving decision algorithms, to ensure that AVs can be safely and efficiently integrated into the human-dominated traffic.</p></div>","PeriodicalId":36310,"journal":{"name":"Automotive Innovation","volume":"6 2","pages":"281 - 296"},"PeriodicalIF":6.1,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50038384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4