Battery technology is progressing slowly and advances in lithium-metal are not yet commercially available
Federal EV battery incentives pertain to countries with US free trade agreements: Australia, Canada, and Chile
Battery supply is constrained by metal mining and production is limited by complex and costly process technologies
More research and product production methods are imminently needed
Battery production for electric vehicles should be a concern. For one, the US has neither the resources nor the production capacity to meet the demand of EV manufacturers. Second, as a national security concern, not having the requisite production infrastructure to support energy transformation leaves the US vulnerable to economic decline and energy price increases. Third, to navigate energy transformation it’s imperative to establish battery production for grid stability and resiliency, particularly when introducing renewable energies.
Currently, lithium-ion batteries are the core foundation for EVs and most vehicle manufacturers are planning to transition to all elective vehicles in the near future. California might ban the sale of new cars running only on gasoline by 2035. The issue is the production of EVs is inextricably linked to the availability of batteries that are limited by supply constraints in both battery metals and production capacity. Our focus is on battery supply chains and production.
Battery Supply Chains
The big issue around EV batteries is assuring an adequate supply of materials at a reasonable price. To better understand the EV supply chain let’s look at the common raw materials namely metals and their associated costs. The four primary metals in a lithium-ion battery commonly used in most EVs are lithium, nickel, cobalt, and manganese. EV batteries use nickel-manganese-cobalt cathodes, with 60% nickel and 20% of cobalt and manganese.
So, what does this EV energy transformation mean to consumers? Let’s look at a few key factors in evaluating EVs: economics, driving range, charging time and charging network. For one, it is the understanding of EV economics such as the difference between MPG to miles per kilowatt hour (kWh). Essentially, how far can you drive with a gallon of gas to kWh of energy. According the EPA, the average vehicle fuel efficiency in 2020 was 25.7 MPG. The U.S. Department of Transportation’s Federal Highway Administration states the average person drives around 13,500 milesevery year suggesting an annual fuel cost of over $2,300 at $4.50 per gallon.
The average EV range is approximately 3.5 miles per kWh. One way to assess the economics between MPG and kWh efficiency is to compare the driving costs of traveling 100 miles. With the average fuel cost of $4.50 in the US and 25.7 MPG equates to $17.50. With an EV achieving 3.5 miles per kWh, the 100-mile traveling cost will depend on whether the EV was charged at home or on a charging network station. According to the Energy Information Administration, the average at home cost is roughly $0.14 per kWh. So, the 100-mile EV travel cost equates to $3.91.
However, if the EV requires charging on a public charging network, the cost is significantly higher. The average kWh cost on public charging networks is approximately $0.42 per kWh ranging from $0.25 from Tesla to $0.33-to-$0.60 on other charging networks. At $0.42 per kWh, the 100-miles travel would cost $12.00 in an EV which is still a 30% savings over conventional vehicles.
From the inception of the Industrial Revolution several core ingredients enabled the transformation and growth of industry. Among these core building blocks of the Industrial Revolution namely: access to risk capital, visionary entrepreneurs, available labor, technology, resources and energy. Technology and energy play a crucial role in not only growing industry but enable scale. Technology can open new markets and provide advantage through product differentiation and economies of scale. Energy is literally the fuel that scales operations.
Today technology, built from knowledge and data, is how companies compete. Energy now emerges as even more integral in scaling operations. Just as James Watt developed the first steam powered engine in 1606 commencing the Industrial Revolution, it was the access to available coal with the use of the steam powered pump, invented by Thomas Savery in 1698, that allowed greater access to coal that gave scale to industry.
Most recently, the pending transaction of Salesforce’s (CRM) acquisition of Slack (WORK) after acquiring Tableau last year serves as a reference in valuing the importance of technology is to sustaining market value. The market value of seven companies accounts for 27% of the approximately $31.6 trillion for the S&P 500. Evaluating the industry and market impact of innovative technologies can be viewed through the lens of stock valuations, particularly as it applies to mergers and acquisitions. This article reviews the companies and the technologies from the perspective of market sales opportunity and the economic impact of the technologies based on the price/performance disruption to the industry.
So why are we focusing on energy and data today? Energy, predominantly hydrocarbon fuels such as oil, natural gas and even coal is how people heat their homes and buildings, facilitate transportation, and generate electricity to run lights, computers, machines and equipment. In addition, there is substantial investment focus on the digital economy, Environmental and Social Governance (ESG), and innovative technologies. A common thread among these themes is energy and data.
Data and Energy are the pillars of the digital economy. Energy efficiency can reduce carbon emissions, thereby improve ESG sustainability initiatives. Innovative technologies around energy and data are opening new markets and processes from formulating new business models to structuring and operating businesses.
The climate imperative and investing in energy infrastructure and environmental ESGs are predicted on energy efficiency and relevant performance metrics to evaluate investment allocation decisions. Therefore, our initial emphasis begins with a background on energy consumption with focus on electric consumption trends, carbon footprint, Green House Gas (GHG) emissions, sustainability, electric grid resilience, and technologies that impact energy including Electric Vehicles (EV), energy storage, and Autonomous Driving (AD). Data technologies encompass cloud architecture, Software as a Service (SaaS), Machine Learning (ML) analytics, and the importance of data as the digital transformation gives rise to the digital economy.
Digital Economy Performance Metrics
Before we dive into the financial and competitive analysis, let’s review business models that are disruptive to the status quo. That is are innovative technologies capable of rapid scale and efficiency gains that change the economics of the market and business profitability. In addition, disruptive events, driven primarily by technology, often appear as waves as the adoption of innovative technologies expands through the market.
Prominent technological waves such as the personal computer (PC), followed by the internet and smartphones and most recently social media and cloud computer all manifested themselves in engendering new business models and creating new market opportunities that dramatically changed the status quo among leading companies at the time. We will use the internet and mobile technology waves to explain how the introduction of innovative technologies offering vastly improved means of commerce enabled the development of new services that changed the business landscape.
Most recent advances in technology appear as waves and give rise to new business models and markets. The internet is one example. The internet enables the connection and process of communication over a new channel. The internet allowed one-to-one and one to many communications and the ability to engage, transact and scale using a digital platform that tremendously lowered the cost of engagement. Scale is among the most important attributes of the internet because the cost of digital replication is close to zero.
Mobile and smartphones began a new era in the digital world. The smartphone allowed a large portion of the world to interact with the internet for the first time on a mobile device. The mobile wave provided platform that enabled the introduction of a host of new business models. The introduction of the Apple iPhone gave way to several new services and industries all from your cell phone.
Let’s review the business model impact of innovative technologies as it applies to cost structure.
Cost Structure and Disruptive Innovation
As explained by ARK Investment Management’s Catherine Wood, the rate of cost decline can be used as a proxy for evaluating the disruptive impact of innovative technology. Cost structure improves as unit production expands. As first postulated by Theodore Wright, an aerospace engineer, who postulated that “for every accumulated doubling of aircraft production, costs fell by about 20 percent”. Wright’s Law as it is now known is also called the Learning Curve or Experience Curve and it is found across industries that experience different rates of declining costs.
What is important from the perspective of investment firms such as Ark is that the magnitude of disruptive impact can be gleaned from these declining cost curves. Revenue growth can then be correlated from these declining cost curves. Essentially, demand elasticity and future sales can be derived from the rate of product cost declines.
This is why price/performance and scientific metrics play an important role in evaluating products, services and company competitive positions. For example, the average cellular price per gigabyte (GB) of data is approximately $12.37 in 2020 according to Small business trends. Another example in science, is the physical performance of an LED light assessed by lumens the light output to the amount of energy consumed in watts such as lumens/watt (Lm/W). These metrics are points in time. For more context, the changes over time and magnitude of change provide insight into inflection points, trends, patterns and relationships.
As devices become complex, encompassing separate processors for communications, computing, power, video and various sensors, it is the integration and orchestration of the overall device performance that becomes of greater value to the user. So, price/performance, scientific understanding and economics become more attuned to relationships among these varied and interdependent components.
As digital transformation grows, underlying technology platforms become a core differentiator for key players. Our research reveals that current market leaders need to identify and embrace important new technologies now and adapt to the continuous emergence of new innovative platforms — often through M&A activities. In our full report, we take a look at significant technology disrupters and identify key players to watch.
Two overarching themes, data and energy, inform our approach; and our core premise that drives our innovative technology analysis is that as more commerce commences over digital platforms, more energy is consumed and more data is generated. This lens enables us to identify important emerging trends as well as obstacles to progress; while sorting out the technologies and firms most likely to emerge as winners going forward.
Importantly, our ongoing research reveals that there is also a confluence of interactivity between classes of technology that results in cross dependencies, correlation, cross pollination and scale that creates nuances within each segment. It is our implementation of data collection and analysis between segments, comprehensively addressed in our full report, which adds the insight required for confident decision making. Order your copy now.
In our full report, we identify some of the sectoral trends fueling the new digital economy and the innovative technology companies creating value in our research. Let’s break it down by sector:
Energy Storage – is the key differentiator for electric vehicles (EVs) and the end-to-end mobility solutions of the future. It also plays a vital role in energy efficiency and resiliency. Energy storage is a core technology to address energy efficiency; critical to controlling carbon emissions, grid resiliency, and providing EV charging solutions. Energy storage systems have substantial benefits for energy consumers, including: industrial, commercial, public, and households. From cost reduction to business continuity and equipment protection, proper energy management delivers significant business efficiencies. There are, however, associated high switching costs for energy storage to be considered. Our focus in our full, in-depth report includes thorough analyses of Plug Power (PLUG), Ballard (BLDP), FuelCell (FCEL), Bloom Energy (BE) and QuantumScape (QS)
Cloud Architecture – another key sector we examine, provides a very cost-effective means of providing separate layers of data storage, computing and transactional services to enterprises and agencies where reliability, scalability and availability are critical to performance and the maintenance of a competitive edge. Virtualization services enable separation of hardware and software as well as method for separating data from control planes. Innovative tools including Databricks and recent IPO Snowflake provide scale and data integration to manage cloud services and data analytics. Our focus in this niche includes Alteryx (AYX), Datadog (DDOG) Palantir (PLTR) Splunk (SPLK) C3.ai (AI) and Snowflake (SNOW).
The pandemic, and to a lesser extent, global climate change are accelerating digital transformation in business, industry, agencies and non-governmental organizations. This transformation is also a transition – to a new way of doing business on all levels; to a new way of looking at the impact and footprint of our business and personal activities; and to a new normal, that is not likely to look a lot like what we’re used to. This coming year will see a number of existing trends accelerate, and new developments which will underlie and drive major changes in business and operational models.
This report will look at a number of industry sectors, as well as the impact of digital transformation on the public sector. In depth reports on each of these sectors are available by yearly subscription for $950 by request.
We have to start somewhere, so let’s take a look at the rather dramatic and emblematic transformation now taking place in the automobile/truck manufacturing sector.
A data analytics framework is applicable to insight discovery; provides a roadmap towards innovation; and enables capabilities that can optimize approaches to new business models and opportunities. The following paper provides examples revealing how and why to apply visual analytics for discovery, innovation and evaluating new opportunities.
Discover how waveforms and patterns are applied to science and finance, and how customer usage patterns can reveal new approaches to market micro-segmentation and persona classifications. Lastly we’ll reveal how the deployment of IoT devices across the enterprise fuels data flow in the physical world regarding the performance and conditions of business assets.
Introduction
Our theme is applying visual data analytics as a tool for discovery, innovation and evaluating market opportunities. We show how two metrics, price and volume, are able to convey insight and establish price targets for technical analysis. Why energy consumption patterns and waveforms lend themselves to understanding science and classifying human behavior. How proxy metrics can serve as measures for physical events. Why linking granular visibility into processes and the monitoring of conditions and operating performance help build an advantage in the digital economy.
Green Econometrics relies on visual analytics as a core fabric in our data analytics frameworks because visual analytics are integral to discovery, innovation and new opportunity development. Visual insights are easy to understand – allowing business objective and performance metrics to seamlessly transfer across business units. So how do we do it?
After several months in Silicon Valley three factors resonate clearly in the process of innovation: access to data, applied analytics, and time to insight. Innovative ideas and technology can just as easily be spawned in New Jersey or Milan as in Silicon Valley. Our focus is why investment into infrastructure that facilitates access to energy or commerce, is the critical factor in game changing events.
Investment onto infrastructure to support access to energy enabled New York City to gain prominence over Philadelphia and Boston as the largest economic center in the US. Access to energy can be traced back to 1829 when the first American steam locomotive in Honesdale, PA initiating the American Railroad to transport Anthracite coal mined in nearby Carbondale to a canal network ultimately linking to the Hudson River and New York City. See post Coal: Fueling the American Industrial Revolution to Today’s Electric
As a corollary, in demonstrating the importance of investing into infrastructure to support economic growth, this is the tale of two Southern cities. In the 1950’s, Memphis, TN and Atlanta, GA were roughly the same size. While Memphis enjoyed economic growth from its port on the Mississippi River, Atlanta was land locked. Atlanta strategically invested by focusing on the future of jet aircraft building the infrastructure for the largest airport in the US in 1961. Within 10 years Atlanta had double the population and economic growth of Memphis. Today Atlanta has an economy five times that of Memphis because of innovative thinking and investment into infrastructure of the future.
Figure 1 Infrastructure: Tale of Two Cities Source: Social Science Data Analysis Network
Electric vehicles (EV) and energy storage are perhaps the most important energy strategy second to renewable energy such as solar photovoltaic. The reason EV is so important to a national energy strategy is the fact that oil used for transportation accounts for more than twice the energy required to supply the entire electric needs of the US market. See the Green Econometrics post Energy Perspective The issue is formulating an effective energy strategy that embraces renewable energy and smart grid technologies.
Figure 2 US Electric Vehicles Source: Ward Automotive, Pike Research, Green Econometrics
Just how critical is infrastructure to supporting electric vehicles?
According to information from Tesla Motors’ registration filings with the SEC in June 2010, the charge time on the Tesla Roadster using a 240 volt, 40 amp outlet to full capacity takes approximately 7 hours. Assuming most drivers are in their vehicles for work five days a week and one day on the weekend, the electric energy consumption to charge the electric vehicle amounts to approximately 67 KWH a day and for a six-day per week charging, 20,966 KWH per EV per year.
According to the DOE Energy Information Administration, the average residential home consumes about 11,000 KWH a year. So the electric vehicle is roughly double is energy use of a typical home. Given capacity constraints in electric generation, tripling the electric energy use per house would more exacerbate our already tenuous energy situation,
Figure 3 Smart Grid is Critical for US Electric Vehicles Source: EIA, Green Econometrics
To sustain economic growth and avoid dependence on foreign oil, electric vehicles provide a migration path towards energy independence. To support the adoption of electric vehicles, a tremendous investment in our electric infrastructure is required. A dramatic supply shock to oil could raise substantially the retail price of gas and thereby drive consumer towards EVs at an accelerated rate. If half the vehicles on the road were electric, our electric generating capacity would need to increase dramatically and outfitted with smart grid technologies to stabilize transmission.
The bottom line is vision and innovation require investment into infrastructure and in particular renewable energy generation like solar and wind and the grid to support intelligent transmission and distribution.
Energy storage enables the electric generated though solar photovoltaic devices or wind turbines to be used when it’s dark, cloudy, or calm. As Nathan Lewis, Professor of Chemistry, Division of Chemistry and Chemical Engineering Lewis Group at California Institute of Technology, framed it, energy storage is integral in facilitating the development of alternative energy programs.
While hydrogen fuel cells offer future promise to our energy storage needs, battery technologies could provide some immediate results. As with all technologies there are tradeoffs.
There are several competing approaches to battery development. Among these approaches include the lead acid, nickel metal hydride, and lithium-ion cells.
Lead acid: batteries are the oldest approach and are typically found under the hood of your car or truck. Nickel metal hydride batteries have been around for more than 25 years and are used in hybrid electric vehicles such as the Toyota Prius. Lithium-ion cells have been on the market since 1991 and are used extensively in cellular phones, laptop computers, and digital cameras.
There are several issues in dealing with batteries such as environmental, economic, power, safety, and useful life. Lithium-ion cells possess many advantages, but incidences such as laptop computers erupting into flames, leaves many concerns for applicability in motor vehicles. Despite the setbacks, lithium-ion technology could provide solutions to the electric vehicle.
Why is this battery technology important? Solving the energy needs of the motor vehicle has profound implications in solving our energy needs. Nearly 70% of our oil consumption is direct towards transportation essentially motor vehicles. Without a dedicated strategy to address the transportation market and specifically the automobile, our progress towards energy independence is an illusion.
There are several issues with the nickel metal hydride batteries currently used in hybrid electric vehicles. Nickel metal hydride batteries are heavy, bulky, require large storage space in the vehicle, and don’t offer great acceleration. Lithium-ion offer power, size, and weight advantages over nickel metal hydride batteries, and numerous companies are working to improve performance and ameliorate the negative connotations associated with flaming laptops.
One of the basic concepts in dealing with batteries is the measure of battery energy versus battery power. The amount of battery energy refers to endurance, how long will the battery last and is often measured in ampere-hours or watt-hours per kilogram of battery weight. The amount of power refers to the energy draw and is akin to delivering acceleration in an electric vehicle.
The following figure illustrates the measurement of battery power and energy. Lithium-ion batteries are differentiated in their ability to bridge the power and energy tradeoff.
Figure 1 Battery Power vs Energy
For home renewable energy projects such as solar or wind energy deployment, it is often recommended that a deep-cycle battery be used. Deep cycle batteries are able to draw down 70%-80% of their full power, offering longer energy life than a typical lead acid battery. In addition, newer materials such as Gel batteries and absorbed glass mat (AGM) that are sealed, maintenance free, and can’t spill, and therefore, are less hazardous. For a tutorial on home use batteries visit BatteryStuff.com
An interesting perspective on battery design is presented Energy vs. Power by Jim McDowall. For a primer on how batteries work visit presented Battery Power The premise is that there are tradeoffs between designing a battery for high power versus high energy.
Research conducted at Stanford University suggest the battery life of lithium-ion batteries could be extended through the use of Nano-technology. The bottom line: energy storage is paramount to sustaining the development of alternative energies and battery technologies play a critical role in energy storage and further expanding the role of alternative energies.
