I agree, Chuck. weak sales of EVs make EVs a weak contributor to CAFE standards. Of course that could change quickly if battery technology breakthroughs bring down the cost of EVs and hybrids. What do you think the chances of that are?
I agree, Mydesign. Until there is a significant breakgrough, the EVs will probably not contribute greatly to meeting CAFE standards. As it stands now, the EVs will proably not have sufficient sales to help car makers meet CAFE.
I asked Carole, the DuPont spokeswoman quoted in the article, if we could give more details. Carole, thanks for sharing these with our audience and addressing their questions about DuPont's survey design and the survey respondents.
Thinking_J, the pie chart represents categories summing up this section of the results of the survey, which included many questions posed to respondents. There are also other illustrations depicting somewhat different data from the survey, which you can access using the link we provided.
Want to share some info Ann didn't have room to include. Respondents were asked to report on the types of programs they are working on – not what they believe. As most folks probably know, the industry is currently working on programs designed to meet milestones along the way to 2025 regulations.
Also, the makeup of the survey represents several points of view: half report they are in the system/component segment of the value chain; 31% are in the OEM role; and 17% say they work in engine/engine services. Half are in the engineering role, with the rest spread between quality; corporate management; production engineering; and research & development.
Rob, in case of EVs the main two major areas which are lagging is Battery power and engine power: which are related to each other. So any further improvement has to happen in these two areas, otherwise it cannot improve efficiency. Putting up more charging stations is not an issue, but better yield from battery is an important factor.
Some time ago I helped restore some automobiles fron the 1920s. I was surprised at the range of materials the manufacturers used to provide light strong structures. These included not just steel, but hard and soft woods, aluminum, fabrics, and such plastics as existed then. During the decades that followed, the US manufacturers slid a long way backwards in the materials department. It's good to see that they are again gaining ground.
The graph represented what the 700 subscribers to WardsAuto "thought" as they were polled... not much more meaning than an "exit poll" at an election. It did not indicate where the automotive decision makers were actually spending their research dollars. It did not indicate relative value of improvement vs money spent in any scientific way.. it was the "gut" feeling by subscribers to a "automovtive information center" on the subject.
So .. at best we have some indication from a few in interested in the industry where they believe improvements are to be made.
Sorry Ann, I want a bit more "meat" to the subject before making any meaningful observations.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.