Innovation and collaborative, synchronized program management for new programs
Aerospace & Defense
Innovation and collaborative, synchronized program management for new programs
Explore IndustryAutomotive & Transportation
Integration of mechanical, software and electronic systems technologies for vehicle systems
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Product innovation through effective management of integrated formulations, packaging and manufacturing processes
Explore IndustryElectronics & Semiconductors
New product development leverages data to improve quality and profitability and reduce time-to-market and costs
Explore IndustryEnergy & Utilities
Supply chain collaboration in design, construction, maintenance and retirement of mission-critical assets
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Construction, mining, and agricultural heavy equipment manufacturers striving for superior performance
Explore IndustryIndustrial Machinery
Integration of manufacturing process planning with design and engineering for today’s machine complexity
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Visibility, compliance and accountability for insurance and financial industries
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Shipbuilding innovation to sustainably reduce the cost of developing future fleets
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Siemens PLM Software, a leader in media and telecommunications software, delivers digital solutions for cutting-edge technology supporting complex products in a rapidly changing market.
Explore IndustryMedical Devices & Pharmaceuticals
“Personalized product innovation” through digitalization to meet market demands and reduce costs
Explore IndustrySmall & Medium Business
Remove barriers and grow while maintaining your bottom line. We’re democratizing the most robust digital twins for your small and medium businesses.
Explore IndustryDriving Battery Innovation with CAE
Driving Battery Innovation with CAE
Learn how CAE accelerates the battery design process
There is an ever-increasing demand for higher energy and power density battery cells, without compromising on weight, size, aging and safety of the battery pack. This makes the design of batteries a highly complex, multi-parameter challenge. In this webinar, we will demonstrate how Computer Aided Engineering (CAE) accelerates the battery design process at both the cell and pack level, helping you achieve your safety and performance goals while at the same time reducing your development costs.
Viewers of this webcast learn how CAE can be used to design better cells by optimizing the current collection and thickness of the electrode coatings and foils. In addition, CAE can help you determine the thickness, position, and number of tabs, as well as the dimensions of busbars. These cell models can be readily transferred to pack models.
For module design, we will discuss how CAE can optimize the thermal system to minimize temperature variations within and across cells. The behavior of both air and liquid coolants can be modeled with accuracy. We will conclude by showing how you can optimize the cooling performance of a pouch cells pack to obtain uniform cell temperature for the minimum pack weight.
Presenters:
Dobrý den, Bobe (bude nahrazeno skutečným jménem během skutečné návštěvy webu)
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Dobrý den, Bobe (bude nahrazeno skutečným jménem během skutečné návštěvy webu)
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Learn how CAE accelerates the battery design process
There is an ever-increasing demand for higher energy and power density battery cells, without compromising on weight, size, aging and safety of the battery pack. This makes the design of batteries a highly complex, multi-parameter challenge. In this webinar, we will demonstrate how Computer Aided Engineering (CAE) accelerates the battery design process at both the cell and pack level, helping you achieve your safety and performance goals while at the same time reducing your development costs.
Viewers of this webcast learn how CAE can be used to design better cells by optimizing the current collection and thickness of the electrode coatings and foils. In addition, CAE can help you determine the thickness, position, and number of tabs, as well as the dimensions of busbars. These cell models can be readily transferred to pack models.
For module design, we will discuss how CAE can optimize the thermal system to minimize temperature variations within and across cells. The behavior of both air and liquid coolants can be modeled with accuracy. We will conclude by showing how you can optimize the cooling performance of a pouch cells pack to obtain uniform cell temperature for the minimum pack weight.
Presenters: