In this whitepaper, we discuss the core challenges caused by battery aging, how these affect aftersales departments across the industry, and how battery analytics can help OEMs overcome these challenges.
from TWAICE
Download the content
Whitepaper
Protect aftersales profits: Start with accurate and reliable insights into battery health
Introduction
‍
Every year, the electric vehicle industry sees increasingly optimistic projections for battery-electric duty vehicles. Sales of zero-emission buses and trucks increased by an average of 72% per year from 2016-2021 (source), with the city bus segment seeing a particularly dramatic surge in demand and deployment of battery-electric buses.
By 2035, the majority of new trucks sold in China, the EU and the US will be electric (source). At the same time, OEMs (original equipment manufacturers) are receiving fewer and fewer orders for diesel buses. Legislation in both the United States and Europe such as the Inflation Reduction Act (US) and Fit for55 (EU) are fueling this trend, as are incumbents and disruptors who are pushing new electric vehicles into the market.
However, scaling a fleet of battery-powered vehicles creates challenges for OEMs, especially in after-sales. A lack of reliable insights into battery aging and health creates complications in, for example, warranty discussions, spare part management, and providing high-quality customer services, all of which have a significant impact on balance sheets for OEMs.
Battery health is relevant for so many different aftersales processes for OEMs, including discussions regarding warranty payouts, providing excellent customer service, swapping batteries on time, and more. Given the high costs of batteries, decision processes regarding warranty discussions, swapping decisions and accrual adjustments involve enormous flows of cash and financial risks. Without access to reliable and precise information on battery health, these vital decisions are made based on guesswork or imprecise battery data.
The whitepaper covers the following topics:
- The incentive:Â using batteries to their full potential
- The problem: reliably and accurately tracking battery aging
- The solution:Â reliable, accurate, and continuous battery health information
- Use cases:Â protecting after-sales profits
- Conclusion
Download the full whitepaper:
Featured Resources · Webinar
Product Webinar: What’s New with TWAICE Energy Analytics (Winter '24 Edition)
Discover the latest product features designed to optimize BESS management & operations, engage in a live Q&A, and get exclusive insights into what’s coming up.
Sign upRelated Resources
Beyond Lithium: Explore the potential of sodium-ion batteries with TWAICE’s new battery simulation model
As the demand for energy storage continues to surge, researchers and engineers are turning their attention to sodium-ion batteries as a promising alternative to lithium-ion. In this whitepaper, we explore the growing demand for sodium-ion technology and explain how TWAICE’s sodium-ion battery simulation model can help engineers gain initial insights into this new technology.
Battery Analytics for ESS: Template Text for RFPs, RFIs & other contractual instruments
Battery analytics adoption in energy storage systems (ESS) is rapidly increasing. In this document, we provide ready-to-use text that can be assimilated into requests for proposals (RFPs), requests for information (RFIs), and other contracting instruments to reduce or eliminate any friction of battery analytics implementation.
LFP in energy storage
Lithium-ion batteries play an essential role in the transition to renewable energies and in generating electricity from more reliable and sustainable technologies. NMC has been the widely used technology for the past years, but now LFP is increasing in popularity due to reasons such as cost and safety advantages. However, LFP comes with challenges, particularly regarding accurate state estimations.
