As the EV Future barrels into the passenger vehicle market, it is transforming the global battery industry toward large scale, commercial manufacturing operations that are supported by emerging regionalized supply chains. Global sales of 6.6 million Electric Vehicles in 2021 consumed over 280 GWh of Lithium-Ion Battery Cells valued at almost 30 B USD. This is double the EV Battery market of 2020.

In this episode we consider the transition to EV from the perspective of multiple stakeholders:

• Car manufacturers
• Utility providers
• Battery manufactures (and the supply chain)
• Government
• Consumers (with different vehicle uses and in different locations)

Biography:

Ron Turi is a battery engineer who owns and operates Element 3 Battery Venture, LLC, a small, but well-equipped development lab centered on lithium battery design that provides contract services for battery end users, cell makers and materials suppliers to the battery industry. Ron is a chemical engineer with 30 years of experience in the lithium-ion battery industry, starting with electrode coating and moving to cell and to battery level development / design. Ron is engaged in projects  for startup companies and larger companies involved in multiple emerging battery technologies with a focus on EV applications

Areas of discussion

• Market capacity
• Fuel pricing
• Labour shortages
• Ongoing market restrictions
• Importance of confidence
• Impact of low economic growth
• Resilience of the low cost carriers

Resources

https://www.linkedin.com/feed/update/urn:li:activity:6652962252913729536/

The Endeavour Programme has developed an artificial intelligence technology that can be applied to improve the performance of major projects.

Key takeaways:

1. Throughout history, the construction industry has rapidly adopted ‘mechanical’ technology, but the management and design of projects is still dominated by humans using programmes such as excel, primavera and autocade
2. An AI machine is like a mechanical mind. It uses billions of data points to predict the probable time and cost outcome of a project in ways that humans simply cannot do
3. By gaining a greater understanding of this probable outcome, humans (AI machines don’t make choices!) can make more informed management decisions throughout the project lifecycle
4. Used correctly, AI allows Governments to better understand the requirements of a project, and make better decisions on how it will allocate resources to match social need
5. Important decisions now need to be made at the policy level. The data generated from infrastructure is valuable.  Where Government has paid for the infrastructure, it should have open access to that data