Save Query
Load Query

Narrow Your Search

Language

Resource Type

Product Category

Product Name

Industry

Sub Industry

Show Results
1 - 10 Of 81 Results
1 2 3 4 5 9
Arrow

Rapid Optimization of Electrical and Thermal Characteristics of Electric Vehicle Batteries

Battery powered electric vehicles (EVs) and hybrid electric vehicles (HEVs) have been gaining market share as the public’s environmental concerns and the depletion of fossil fuels drive the demand for better fuel efficiency. In this white paper we describe a six-step multiphysics simulation involving electrical and thermal parameters to design and validate any battery model. As a case study, we present the battery design for Volkswagen Motorsport’s I.D. R Pikes Peak, which achieved a stunning, record-breaking victory in the 2018 Pikes Peak International Hill Climb.

Author: ANSYS, Inc. Type: White Paper Date:
Product Category: Electronics, Systems
Industry: Automotive


Request

Arrow

Driving Change in the Age of Electric Vehicles - eBook

Manufacturers worldwide have accelerated the production of electric vehicles (EVs), ranging from cars to two-wheelers to buses. Between 2016 and 2017, sales of EVs grew by 54%. It is predicted that there will be up to 228 million EVs worldwide by 2030. Read about how engineering simulations will play a large role in this growth worldwide.

Author: ANSYS, Inc. Type: White Paper Date:
Industry: Automotive
Sub Industry: Electrical and Electronics


Request

Arrow

An Integrated Simulation Platform to Validate Autonomous Vehicle Safety

Autonomous driving systems rely upon sensors and embedded software for localization, perception, motion planning and execution. Autonomous driving systems can only be released to the public after developers have demonstrated their ability to achieve extremely high levels of safety. Today’s hands-off autonomous driving systems are largely built with deep learning algorithms that can be trained to make the right decision for nearly every driving situation. These systems, however, lack the detailed requirements and architecture that have been used up to now to validate safety-critical software, such as that which controls commercial airliners. Road testing is clearly an essential part of the development process, but billions of miles of road testing would be required to validate the safety of autonomous driving systems and software. Simulation is needed to make verification and validation of the operation of autonomous vehicles a practical endeavor.

Author: Type: White Paper Date:
Product Name: VRXperience, Speos
Product Category: Optical
Industry: Automotive
Sub Industry: Cars and Light Trucks


Request

Arrow

Managing Changing Quality Needs in Automotive and Consumer Product Industries

As user experience and shared brand or product perceptions effectively dictate purchasing decisions, exceeding customers’ expectations in a cost-effective manner is an imperative for manufacturers. Because design trends change so rapidly, a lengthy development cycle may produce outdated products. To optimize time to market, product stakeholders must improve their efficiency in both product and process design to deliver first-time-right products. New sophisticated quality and visualization tools can help predict manufacturing variation and its impact on perceived quality at an earlier stage, when issues can be addressed with minimal cost. In this white paper, discover how preliminary quality assessment is becoming a must-have in current design processes — for a more streamlined product development lifecycle, with a shortened lead time from concept to production.

Author: Ansys Type: White Paper Date:
Product Name: VRXperience
Product Category: Optical
Industry: Automotive, Consumer Products


Request

Arrow

How to Design, Optimize and Validate Safe Laser Headlamps Through Virtual Experimentation

Today, car manufacturers and their suppliers are facing a real challenge: designing attractive laser headlamps that will illuminate the road without blinding drivers and pedestrians. Validating the safety of these headlight systems using physical prototypes would require millions of miles of night-driving testing and cost-prohibitive investment.

Simulation is the only option for adequately assessing how a headlight design will perform under numerous road, weather, lighting conditions. Engineers can perform virtual tests in greater numbers and at faster speeds, while reducing development time and prototyping costs.

Author: Ansys Type: White Paper Date:
Product Name: Speos
Product Category: Optical
Industry: Automotive
Sub Industry: Cars and Light Trucks


Request

Arrow

Is Physics-based Virtual Prototyping the Future of Automotive Interior Lighting Validation?

Physics-based virtual prototyping allows car interior designers to predict potential lighting issues — and avoid them. Accounting for the interaction between light, materials and human perception early in the development process eliminates costly design fixes downstream.

Author: Ansys Type: White Paper Date:
Product Name: Speos
Product Category: Optical
Industry: Automotive
Sub Industry: Cars and Light Trucks


Request

Arrow

Insight into the Evolution of Vehicle Electrification: 2018 SAE Reader Survey - White Paper

This SAE 2018 Reader Survey was conducted on behalf of ANSYS to discover subscribers’ level of involvement with vehicle electrification trends and technologies. Survey respondents work in the automotive industry, with corporate management, management and design engineering job functions and a technology interest in power and propulsion.

Author: ANSYS, Inc. Type: White Paper Date:
Product Category: Electronics, Embedded Software
Industry: Automotive, Industrial Equipment, Aerospace and Defense
Sub Industry: Cars and Light Trucks, Car and Light Truck OEMs, Heavy Truck OEMs, Heavy Trucks and Off-Highway, Tier 1 and 2 Suppliers


Request

Arrow

White Paper - 시뮬레이션을 통한 자율 주행 차량 레이더의 성능 개선

자율 주행 차량 제어에 있어 가장 중요한 점은 차량의 작동 특성 및 주변 환경을 인식하는 제어 시스템의 눈과 귀가 되는 차량 센서를 지속적으로 향상시키는 것입니다. AI 및 의사결정 시스템은 차량 경로를 계획하고 환경에 대응하는 반면, 센서는 차량 주변의 현재 및 개발 상태에 대한 정확한 데이터를 이러한 알고리즘을 실행하는 제어 시스템에 제공해야 합니다. 정확한 알고리즘 개발은 정확한 센서 데이터의 사용 가능성에 일정 부분 의존합니다.

Author: ANSYS, Inc. Type: White Paper Date:
Industry: Automotive


Request

Arrow

White Paper - 자동차 및 육상 교통의 혁신, 기회를 잡는 방법

엔지니어링 시뮬레이션은 수십 년 동안 자동차 산업에서 활용되고 있으며, 기술 개발을 더욱 가속화하기 위한 도구로 입증되었습니다. 산업이 더욱 혁신함에 따라, 시뮬레이션 또한 다양한 방식으로 활용되어야 합니다. 시뮬레이션은 라이다, 레이더, 구동 모터 및 리튬-이온 배터리 등의 신기술 개발에서 사용할 수 있으며, 자율 주행 차량의 폐루프 시뮬레이터 등으로 사용 사례가 확장되고 있습니다. 시장 경쟁에서 승리하기 위해서는 이러한 기술 활용이 필수적입니다.

Author: ANSYS, Inc. Type: White Paper Date:
Industry: Automotive


Request

Arrow

White Paper - 안전한 자율 주행 차량 개발을 위한 빠른 길

주행 차량의 발전은 무인 자동차, 드론, 자율 모바일 로봇 등과 함께 자동차, 항공 우주 및 산업 장비 산업을 위협하고 있습니다.자율 주행 차량 제조사들에게 이러한 장거리의 물리적 테스트는 실제적인 솔루션이 아니기 때문에, “주행, 비행,조종 시뮬레이션”을 활용하여 주어진 기간 내에 필수 테스트를 대안으로 수행하고 있습니다. 본 백서에서는 ANSYS가 고신뢰성 센서 모델 및 개방 루프/폐쇄 루프 시뮬레이션을 통해 감지, 위치 측정, 모션 계획 및 모션 실행을 담당하는 임베디드 소프트웨어의 안전 요구 사항을 기준으로 차량 성능을 검증하는 방법에 대해 설명합니다. 이는 업계에서 유일하게 포괄적이고, 개방적이며 구성 가능한 솔루션입니다.

Author: ANSYS, Inc. Type: White Paper Date:
Industry: Automotive


Request

1 - 10 Of 81 Results
1 2 3 4 5 9
 
Contact