Week of Events
The Why, the What, and the How of Retrofit Plug-in Hybridization
The Why, the What, and the How of Retrofit Plug-in Hybridization
Blue Dot Motorworks, a Seattle-based startup, is developing a family of bolt-on retrofit systems to convert existing vehicles in to plug-in hybrids. The motivation for this approach lies in the slow turnover of the global vehicle fleet. For example, if non plug-in vehicle production were completely phased out by 2027, a dramatically more aggressive strategy than anything being adopted anywhere, the resulting vehicle emissions would consume 230% of the remaining 1.5 C carbon budget. Closing the gap with additional new EVs would: cost $38 trillion; require 700% more battery production than predicted; destroy $15 trillion-worth of existing vehicles; necessitate 2.8 million additional chargers; and emit over 3 Gigatonnes of CO2 in the production and scrapping processes. Retrofitting existing vehicles as plug-in hybrids addresses all of these issues. The missing link is a technology that can be scaled to the magnitude of the challenge. Blue Dot Motorworks has achieved scalability through vehicle agnosticism. By taking a deliberately un-integrated approach, leveraging common vehicle interfaces, keeping the installation process simple and consistent, and baking adaptability in to the product architectures, the systems can be mass produced at the lowest possible price and installed by third parties. Blue Dot Motorworks has performed multiple rounds of prototyping and has demonstrated the feasibility, practicality, usability, and performance of the approach. They are now seeking their first round of external funding to commercialize the technology. Speaker(s): Tom Gurski, Virtual: https://events.vtools.ieee.org/m/299961
IEEE Smart Cities Singapore
IEEE Smart Cities Singapore
Join us for an interactive session on IEEE Smart Cities Singapore. Find out why Singapore is rated the #1 Smart City in the world. Angelica will discuss Singapore's Responsible AI approach to smart city planning, as well as how Machine Learning may be utilized to assist governments and cities in better understanding their citizens. Angelica will also compare Singapore's Smart City model to other renowned frameworks, such as Estonia's Estonian Smart City Cluster and Abu Dhabi's Zayed Smart City Project, among others. Co-sponsored by: IEEE Power and Energy Society PES Speaker(s): Singapore, Angelica Sirotin Agenda: 12:00 PM PST IEEE Announcements 12:02 PM PST Announcing the Speaker 12:04 PM PST Presentation 12:45 PM PST Q&A Seattle , Washington, United States, 98121, Virtual: https://events.vtools.ieee.org/m/300940