在将电动、自主驾驶和互联汽车推向市场的竞争中,OEM 面临一大难题:为保持盈利和增长,他们需要提高现有运输模式的效率,同时让下一代概念产品快速进入市场。最先进的仿真技术已广泛用于汽车行业。然而,手上的任务如此复杂,以至于汽车开发过程中的自由度和信心已成为获胜的关键。

在虚拟样机的帮助下,在设计下一代汽车时,您可以做出更明智的决策,无需真实原型即可验证汽车性能,在切割钢板之前做好制造准备,并转向实现多进程、多材料组装。借助 Hybrid Twin®,您可提前体验新 CASE 技术的性能,在早期决策阶段获得信心,并在上市之前和汽车的整个生命周期中赢得客户信任。我们与由工程师、制造专家和数据架构师组成的跨职能团队密切协作,消除了虚拟与真实之间的差距,确保您在汽车开发中取得新突破。

是否有针对生产前原型节约成本和时间的成熟替代方案?

。如今,在冻结设计之前,您可以进行数千次测试,研究不同的方案和设计变型,(以虚拟方式)做出最优取舍,最终达到五星 EuroNCAP 安全等级。我们已经帮助 Skoda 实现了这个目标。

Can I design cost-effective sound insulation specifications early in the development process?

Yes. Sound insulation lay-ups can be predicted and assessed for brand and weight targets early in the design process. Acoustic targets can be cascaded to Tier 1 suppliers in the form of vibrio-acoustic models.

我真的可以完全摈弃物理测试吗?

当然可以。现在,验证汽车和零件可靠性的速度比以往更快,从而加快了计划进度。您只需通过虚拟方式获得真实结果,并构建涵盖所有工程领域的全局单核模型。我们已经帮助 Farasis 实现了这个目标。

 

我能消除汽车设计和装配中的不确定性吗?

。如今完全有可能集成和打造 100% 符合设计蓝图的新一代汽车,并在短短八个月内就实现目标投资回报率。工程师进入沉浸式虚拟生产环境,巡视装配环境(按 1:1 比例),与组件交互,测试工作流程,并体验他们原本看不到却又对工业 4.0 制造至关重要的过程。我们已经帮助 Fiat Chrysler 实现了这个目标。

ESI 能否帮助我克服汽车电池的性能限制?

能。实际上已经可以对电池各方面的性能进行虚拟测试,从安全性、续航里程到耐久性和二次使用情形。如果可以根据交通状况、驾驶方式、地形、道路和天气状况自动调节车内温度,从而最大程度加长行驶距离,您一定会兴奋不已。您还可以通过基于实时性能指标来预测汽车维护,从而避免汽车发生故障。在汽车生命周期的任何阶段和任何情形,您都需要这种十足的自由度来改变汽车的老化速度和性能,这样才能真正革新汽车行业的未来。ESI 的 Hybrid Twin™ 能够实现这个目标。

Optimizing aerodynamics to maximize EV range

Typically, strategies aiming at maximizing the range of an electric vehicle rely on reducing vehicle weight or improving battery performance.

But 2021 could change this as the world is getting ready to welcome a hundred of different new fully electric models for all needs and wants. The full-electric vehicles offering is expanding to larger models, sports cars and SUVs with ranges neighboring 500 km (310 miles).

For Audi’s engineers working on the new e-tron, new customer expectations translated into the need to develop innovative product development strategies to maximize driving range.

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长续航里程高性能电池

安全不容妥协:汽车行业正致力于将“零伤亡”变为现实。电池方面仍存在许多令人担忧的问题,如车内的理想部署位置、各路况下的完整性或外壳在遭受撞击时的防护水平。OEM 及其供应商所面临的挑战在于满足不断变化的需求:针对各种环境的虚拟化测试能力,对于成功开发蕴含全球化思维的电动汽车变得空前重要。

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实现理想的乘客舒适度和能耗

随着内饰布局变得灵活——甚至具有革命性,车内气候系统必须经过重新设计方可满足车舱结构及个性化舒适度的需求。如何在改造车舱的同时继续保持乘客的安全性和舒适度并打造高性能车辆?这是工程团队面临的一项艰巨挑战。借助虚拟内饰工程,工程团队能在创新型汽车概念设计成型前充分测试各种布局和场景,最终获得车舱全貌,平衡乘客舒适度、车舱能耗以及与之对应的续航里程和乘客安全等因素。

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Go for Hybrid Twins to Achieve energy management targets and maximum range without sacrificing comfort, safety, or cost

Today, it is possible to maximize electric vehicle driving range, while simultaneously offering cabin comfort and safety in a holistic, end-to-end engineering approach. Engineers virtually analyze and assess the interaction of all vehicle variables, inside and outside, and in real-time, accurately predicting the impact on the passenger comfort. They do this by accounting for passenger characteristics in combination with heating, ventilation, air conditioning, battery, and powertrain plus external environments like roads conditions, traffic, driving style, and weather. With the Hybrid Twin™, aim to empower OEMs to create a truly immersive, individual, and mobile driving experience.

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对生产过程进行体验、验证、沟通

在设计为制造和服务奠定基调后,工程团队需要认识到人与其产品和流程之间的交互,只有这样才能让生产和装配顺利进行。在虚拟现实技术的帮助下,工程团队可在体验和验证装配要求并就其进行沟通的同时,考虑以人为本的流程间交互。这最终可以大幅降低未来的装配风险、提升效率,同时提高生产力、实现关键产品目标。

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轻量化设计确保长续航里程又不增加成本

轻量化的车身结构、发动机和传动装置是实现理想的电动汽车性能和续航里程的关键。但在采用轻型材料制造汽车时,如何在满足误差范围要求的同时提高最终感知质量,仍是 OEM 面临的一大难题。此外,这一要求通常还会造成试验阶段大幅超支。为满足客户的高要求、最大限度降低风险并将成本控制在规定范围内,OEM 必须确保制造过程具备领先的工艺和操作性能。通过模拟制造和组装流程,可实现对关键制造和组装流程的虚拟化管理、检查感知质量,并确保整个制造过程按预期进行。这是制造外观精美、轻量化、组装灵活的电动汽车的催化剂,有助于呈现极致品质。

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Virtual Prototyping Empowers Automakers to Engineer and Manufacture Multi-Material Assemblies With Confidence

With the advent of connected, automated, shared, and electrified (CASE) devices, light-weighting and cost savings are strategically pursued top priorities for automakers to achieve greenhouse gas emissions, fuel economy, range targets and affordable products. On the one hand, weight reduction is a must for body and chassis design, shifting the focus towards high strength-to-weight ratio materials in assemblies that combine, for instance, advanced steels with aluminum and composites. In the process, product engineering and manufacturing complexity is growing and the urgency of uniting those two worlds earlier is increasing. On the other hand, they equally share the cost pressure because high investments on the powertrain side inevitably reduce the “what we can afford” on the body and chassis side. Thus, being able to accurately predict the wide range of manufacturing processes and their assemblies is key to minimizing the amount of costly physical prototypes and tryouts.

Learn how to couple the engineering world and the manufacturing.

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通过传感、智能互连和报告功能带来更安全的驾驶体验

为尽可能提高安全水平,自动驾驶汽车必须具有 360° 视角,从而通过解读传感器(相机、雷达或激光雷达)数据做出正确决策。借助虚拟样机和物理传感器模型,工程团队能够验证自动驾驶系统的可靠性,开发出最安全的自动驾驶汽车,同时减少测试阶段所花费的时间和成本。

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Virtual Prototyping Solutions for Creating a Personal, Powerful, and Safe Driving Experience

From vehicle engineering, manufacturing, and assembly operations to service process engineering & maintenance, define and deliver safe and reliable vehicles and production processes that result in the highest product quality and life-time performance - with nearly zero physical prototypes. Increase the efficiency of the existing transportation paradigm and lead the race in the new age of technology.

Read on to find out more about the main value propositions that we offer in the fields of pre-certification, pre-experience, smart manufacturing, and man-machine-interaction (Human-centric).

以人为本,集成和打造 100% 符合设计蓝图的新一代汽车

采用以人为本的方法,保障组装和维护操作的效率,尽早从容消除汽车设计和生产的众多未知因素。

首次即成功通过复杂新技术预认证,减少实际测试次数

我们的目标是借助预测模型和流程自动化提高生产力,确保首次即成功通过设计验证。

预体验新汽车技术,尽早验证新商业模式

了解当前汽车的性能,以便在下一代汽车上市之前及整个生命周期中赢得客户对其的信任。

尽早确立合适的制造流程,省去后顾之忧,实现设计意图

尽早确立合适的制造流程,获得信心,实现产品的性能指标,并打通汽车制造业内和全供应链上的各个节点。

Virtual Prototyping in Automotive and Ground Transportation is Trusted By

All over the world, suppliers, manufacturers, and engineering partners use ESI’s solutions to design and optimize future mobility on the ground, e.g. Alstom Transport, Autoliv, Bombardier, Bertrandt, Continental, Daimler, FAW Volkswagen, Faurecia, Fiat/Chrysler, Ford, General Motors, Gestamp, Honda, Hyundai Group, Isuzu, Jaguar Land Rover, MAN, Mazda, Mitsubishi Motors, PSA Peugeot Citroen, Renault Nissan, Shanghai Volkswagen, Takata, Tata Group, Toyota Motor Corp., Visteon, Volkswagen Group, and Volvo Group.